Best IBM Cloud SQL Query Alternatives in 2025

Find the top alternatives to IBM Cloud SQL Query currently available. Compare ratings, reviews, pricing, and features of IBM Cloud SQL Query alternatives in 2025. Slashdot lists the best IBM Cloud SQL Query alternatives on the market that offer competing products that are similar to IBM Cloud SQL Query. Sort through IBM Cloud SQL Query alternatives below to make the best choice for your needs

  • 1
    Google Cloud SQL Reviews
    See Software
    Learn More
    Compare Both
    Cloud SQL is a fully managed relational database service that supports MySQL, PostgreSQL, and SQL Server. It includes rich extensions, configuration flags, and developer ecosystems. Cloud SQL offers $300 in credits for new customers. You won't pay until you upgrade. Reduce maintenance costs by using fully managed MySQL, PostgreSQL, and SQL Server databases. The SRE team provides 24/7 support for reliable and secure services. Data encryption in transit and at rest ensures the highest level of security. Private connectivity with Virtual Private Cloud, user-controlled network access, and firewall protection add an additional layer of safety. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA, you can trust your data to be protected. Scale your database instances with a single API request, whether you are just testing or need a highly available database in production. Standard connection drivers and integrated migration tools let you create and connect to a database in a matter of minutes. Transform your database management with AI-driven support in Gemini, currently available in preview on Cloud SQL. It enhances development, optimizes performance, and simplifies fleet management, governance, and migration.
  • 2
    RaimaDB Reviews
    Top Pick See Software
    Learn More
    Compare Both
    RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
  • 3
    Apache Phoenix Reviews

    Apache Phoenix

    Apache Software Foundation

    Free
    Apache Phoenix provides low-latency OLTP and operational analytics on Hadoop by merging the advantages of traditional SQL with the flexibility of NoSQL. It utilizes HBase as its underlying storage, offering full ACID transaction support alongside late-bound, schema-on-read capabilities. Fully compatible with other Hadoop ecosystem tools such as Spark, Hive, Pig, Flume, and MapReduce, it establishes itself as a reliable data platform for OLTP and operational analytics through well-defined, industry-standard APIs. When a SQL query is executed, Apache Phoenix converts it into a series of HBase scans, managing these scans to deliver standard JDBC result sets seamlessly. The framework's direct interaction with the HBase API, along with the implementation of coprocessors and custom filters, enables performance metrics that can reach milliseconds for simple queries and seconds for larger datasets containing tens of millions of rows. This efficiency positions Apache Phoenix as a formidable choice for businesses looking to enhance their data processing capabilities in a Big Data environment.
  • 4
    ScaleGrid Reviews
    ScaleGrid is a fully managed Database-as-a-Service (DBaaS) platform that helps you automate your time-consuming database administration tasks both in the cloud and on-premises. ScaleGrid makes it easy to provision, monitor, backup, and scale open-source databases. It offers advanced security, high availability, query analysis, and troubleshooting support to improve your deployments' performance. The following databases are supported: - MySQL - PostgreSQL - Redis™. - MongoDB®, database - Greenplum™ (coming soon) ScaleGrid supports both public and privately-owned clouds such as AWS, Azure and Google Cloud Platform (GCP), DigitalOcean and Linode, Oracle Cloud Infrastructure, (OCI), VMware, and OpenStack. ScaleGrid is used by thousands of developers, startups, as well as enterprise customers such as Accenture, Meteor and Atlassian. It handles all your database operations at any scale, so you can concentrate on your application performance.
  • 5
    Infobright DB Reviews
    Infobright DB is an enterprise-grade database that utilizes a columnar storage architecture, enabling business analysts to efficiently analyze data and rapidly generate reports. This versatile database can be implemented both on-premise and in cloud environments. It is designed to store and analyze substantial amounts of big data, facilitating interactive business intelligence and handling complex queries with ease. By enhancing query performance and lowering storage costs, it significantly boosts overall efficiency in analytics and reporting processes. With capabilities to manage hundreds of terabytes of data, Infobright DB overcomes the limitations often faced by traditional databases. This solution supports big data applications while removing the need for indexing and partitioning, resulting in no administrative burden. In an era where machine data is growing exponentially, IgniteTech’s Infobright DB is purpose-built to deliver exceptional performance for large quantities of machine-generated information. Furthermore, it allows users to manage intricate ad hoc analytical environments without the heavy database administration demands seen in other solutions. This makes it an invaluable tool for organizations seeking to optimize their data handling and analysis.
  • 6
    Apache Druid Reviews
    Apache Druid is a distributed data storage solution that is open source. Its fundamental architecture merges concepts from data warehouses, time series databases, and search technologies to deliver a high-performance analytics database capable of handling a diverse array of applications. By integrating the essential features from these three types of systems, Druid optimizes its ingestion process, storage method, querying capabilities, and overall structure. Each column is stored and compressed separately, allowing the system to access only the relevant columns for a specific query, which enhances speed for scans, rankings, and groupings. Additionally, Druid constructs inverted indexes for string data to facilitate rapid searching and filtering. It also includes pre-built connectors for various platforms such as Apache Kafka, HDFS, and AWS S3, as well as stream processors and others. The system adeptly partitions data over time, making queries based on time significantly quicker than those in conventional databases. Users can easily scale resources by simply adding or removing servers, and Druid will manage the rebalancing automatically. Furthermore, its fault-tolerant design ensures resilience by effectively navigating around any server malfunctions that may occur. This combination of features makes Druid a robust choice for organizations seeking efficient and reliable real-time data analytics solutions.
  • 7
    CockroachDB Reviews
    CockroachDB: Cloud-native distributed SQL. Your cloud applications deserve a cloud-native database. Cloud-based apps and services need a database that can scale across clouds, reduces operational complexity, and improves reliability. CockroachDB provides resilient, distributed SQL with ACID transactions. Data partitioned by geography is also available. Combining CockroachDB and orchestration tools such as Mesosphere DC/OS and Kubernetes to automate mission-critical applications can speed up operations.
  • 8
    IBM Informix Reviews
    IBM Informix® is a highly adaptable and efficient database that can effortlessly combine SQL, NoSQL/JSON, as well as time series and spatial data. Its flexibility and user-friendly design position Informix as a top choice for diverse settings, ranging from large-scale enterprise data warehouses to smaller individual application development projects. Moreover, due to its compact footprint and self-managing features, Informix is particularly advantageous for embedded data management applications. The rising demand for IoT data processing necessitates strong integration and processing capabilities, which Informix fulfills with its hybrid database architecture that requires minimal administrative effort and has a small memory footprint while delivering robust functionality. Notably, Informix is well-equipped for multi-tiered architectures that necessitate processing at various levels, including devices, gateway layers, and cloud environments. Furthermore, it incorporates native encryption to safeguard data both at rest and in transit. Additionally, Informix supports a flexible schema alongside multiple APIs and configurations, making it a versatile choice for modern data management challenges.
  • 9
    SAP IQ Reviews
    Elevate your real-time decision-making capabilities with SAP IQ, our advanced columnar relational database management system (RDBMS) specifically designed for Big Data analytics. Experience unparalleled speed, robust power, and enhanced security, all while catering to extreme-scale enterprise data warehousing and analytics needs; this cost-effective and efficient RDBMS is perfectly integrated within the SAP Business Technology Platform. It can be deployed as a fully managed cloud service on a leading hyperscale platform, enabling seamless ingestion, storage, and querying of substantial data volumes through a relational data lake that supports various file types natively. Additionally, it offers a fully managed cloud solution for SAP IQ customers looking to leverage their existing Sybase investments, streamlining the transition of current SAP IQ databases to the cloud. By ensuring faster access to Big Data for applications and users, organizations can make swift, informed decisions in real-time, enhancing operational agility significantly. This combination of features ensures that businesses can keep pace with the rapidly evolving data landscape.
  • 10
    SingleStore Reviews
    SingleStore, previously known as MemSQL, is a highly scalable and distributed SQL database that can operate in any environment. It is designed to provide exceptional performance for both transactional and analytical tasks while utilizing well-known relational models. This database supports continuous data ingestion, enabling operational analytics critical for frontline business activities. With the capacity to handle millions of events each second, SingleStore ensures ACID transactions and allows for the simultaneous analysis of vast amounts of data across various formats, including relational SQL, JSON, geospatial, and full-text search. It excels in data ingestion performance at scale and incorporates built-in batch loading alongside real-time data pipelines. Leveraging ANSI SQL, SingleStore offers rapid query responses for both current and historical data, facilitating ad hoc analysis through business intelligence tools. Additionally, it empowers users to execute machine learning algorithms for immediate scoring and conduct geoanalytic queries in real-time, thereby enhancing decision-making processes. Furthermore, its versatility makes it a strong choice for organizations looking to derive insights from diverse data types efficiently.
  • 11
    Oracle Database Reviews
    Oracle's database offerings provide clients with cost-effective and high-efficiency options, including the renowned multi-model database management system, as well as in-memory, NoSQL, and MySQL databases. The Oracle Autonomous Database, which can be accessed on-premises through Oracle Cloud@Customer or within the Oracle Cloud Infrastructure, allows users to streamline their relational database systems and lessen management burdens. By removing the intricacies associated with operating and securing Oracle Database, Oracle Autonomous Database ensures customers experience exceptional performance, scalability, and reliability. Furthermore, organizations concerned about data residency and network latency can opt for on-premises deployment of Oracle Database. Additionally, clients who rely on specific versions of Oracle databases maintain full authority over their operational versions and the timing of any updates. This flexibility empowers businesses to tailor their database environments according to their unique requirements.
  • 12
    KS DB Merge Tools Reviews
    Top Pick
    KS DB Merge Tools is an easy to use diff & merge tool for MySQL, MariaDB, Oracle Database, SQL Server, PostgreSQL, MS Access, SQLite and Cross-DBMS databases allowing to compare and sync both schema and data. Starting with a schema changes summary, results can be narrowed down to object lists of particular object type (table definitions, views, etc.), and then down to definition of particular object. Data changes can be retrieved as a high-level list of changes totals across all tables in the database, each total row count can be observed as a side-by-side list of rows for the given table, each changed row can be analyzed for changes in each column. Various diff results provide quick filters to show only new/changed/new+changed items (schema objects or table data rows), ability to select required changed items and generate scripts to apply these changes to the other side database. This script can be executed immediately or saved for future use.
  • 13
    Gilhari Reviews
    Gilhari is a microservice framework that provides persistence for JSON objects in relational database. This microservice framework is available as a Docker image and can be configured according to an app-specific object or relational model. Gilhari exposes REST (Representational State Transfer) interface for APIs (POST/GET, PUT and DELETE ) to perform CRUD (Create. Retrieve. Update. Delete) operations on app-specific JSON objects. Here are some highlights from Gilhari: * Metadata driven, object model independent and database agnostic framework * Easily customizable/configurable to your JSON object model * JSON attributes can be mapped to table columns, allowing full query capabilities as well as optimizations * Supports complex object modeling, including 1-m, 1-m and m-m relationships * No code is required to handle REST APIs (POST/GET, PUT/DELETE), data exchange (CRUD), or database schema creation.
  • 14
    SAP HANA Reviews
    SAP HANA is an in-memory database designed to handle both transactional and analytical workloads using a single copy of data, regardless of type. It effectively dissolves the barriers between transactional and analytical processes within organizations, facilitating rapid decision-making whether deployed on-premises or in the cloud. This innovative database management system empowers users to create intelligent, real-time solutions, enabling swift decision-making from a unified data source. By incorporating advanced analytics, it enhances the capabilities of next-generation transaction processing. Organizations can build data solutions that capitalize on cloud-native attributes such as scalability, speed, and performance. With SAP HANA Cloud, businesses can access reliable, actionable information from one cohesive platform while ensuring robust security, privacy, and data anonymization, reflecting proven enterprise standards. In today's fast-paced environment, an intelligent enterprise relies on timely insights derived from data, emphasizing the need for real-time delivery of such valuable information. As the demand for immediate access to insights grows, leveraging an efficient database like SAP HANA becomes increasingly critical for organizations aiming to stay competitive.
  • 15
    Presto Reviews
    Presto serves as an open-source distributed SQL query engine designed for executing interactive analytic queries across data sources that can range in size from gigabytes to petabytes. It addresses the challenges faced by data engineers who often navigate multiple query languages and interfaces tied to isolated databases and storage systems. Presto stands out as a quick and dependable solution by offering a unified ANSI SQL interface for comprehensive data analytics and your open lakehouse. Relying on different engines for various workloads often leads to the necessity of re-platforming in the future. However, with Presto, you benefit from a singular, familiar ANSI SQL language and one engine for all your analytic needs, negating the need to transition to another lakehouse engine. Additionally, it efficiently accommodates both interactive and batch workloads, handling small to large datasets and scaling from just a few users to thousands. By providing a straightforward ANSI SQL interface for all your data residing in varied siloed systems, Presto effectively integrates your entire data ecosystem, fostering seamless collaboration and accessibility across platforms. Ultimately, this integration empowers organizations to make more informed decisions based on a comprehensive view of their data landscape.
  • 16
    DoubleCloud Reviews

    DoubleCloud

    DoubleCloud

    $0.024 per 1 GB per month
    Optimize your time and reduce expenses by simplifying data pipelines using hassle-free open source solutions. Covering everything from data ingestion to visualization, all components are seamlessly integrated, fully managed, and exceptionally reliable, ensuring your engineering team enjoys working with data. You can opt for any of DoubleCloud’s managed open source services or take advantage of the entire platform's capabilities, which include data storage, orchestration, ELT, and instantaneous visualization. We offer premier open source services such as ClickHouse, Kafka, and Airflow, deployable on platforms like Amazon Web Services or Google Cloud. Our no-code ELT tool enables real-time data synchronization between various systems, providing a fast, serverless solution that integrates effortlessly with your existing setup. With our managed open-source data visualization tools, you can easily create real-time visual representations of your data through interactive charts and dashboards. Ultimately, our platform is crafted to enhance the daily operations of engineers, making their tasks more efficient and enjoyable. This focus on convenience is what sets us apart in the industry.
  • 17
    PolarDB Reviews
    PolarDB is engineered for mission-critical database applications that demand exceptional speed, extensive concurrency, and seamless scaling capabilities. It allows for a remarkable expansion of up to millions of queries per second and supports a database cluster with a capacity of 100 TB alongside 15 low latency read replicas. This platform boasts a performance that is six times quicker than traditional MySQL databases while providing the security, reliability, and availability comparable to well-established commercial databases at merely one-tenth of the cost. PolarDB represents a culmination of advanced database technology and best practices refined over the previous decade, which have been instrumental during massive events like the Alibaba Double 11 Global Shopping Festival. In a move to foster the developer community, we are pleased to introduce Always Free ApsaraDB for PolarDB across all three variations, available for users operating with no more than one instance (featuring 2 cores and 8GB of memory) and up to 50GB of storage. Act now to register and ensure you renew each month in order to retain this advantageous offer. Please be aware that the availability of regional resources may vary over time, so staying informed is essential.
  • 18
    Alibaba Cloud DRDS Reviews
    The Distributed Relational Database Service (DRDS) is an agile, adaptable, and reliable middleware solution crafted by Alibaba Cloud. Primarily aimed at enhancing standalone relational databases, DRDS has undergone rigorous testing in critical transactional scenarios on platforms like Tmall, particularly during high-traffic events such as the Singles’ Day Shopping Festival. With a decade of experience, DRDS has established itself as a dependable database service provider. It enables data read and write operations based on clustered configurations and offers efficient data storage solutions. Operating across multiple independent servers, DRDS ensures that user connection volumes do not hinder performance. Furthermore, it allows for seamless upgrades and downgrades of data configurations, coupled with the ability to visually manage the scaling up and down of data storage. The service enhances reading performance through read and write splitting, which effectively linearizes improvements. Additionally, it accommodates various data splitting techniques tailored to specific data types, including parallel data splitting. DRDS emphasizes the efficiency of primary shards and facilitates parallel query executions, thereby optimizing overall database performance and responsiveness. This makes it an ideal choice for enterprises seeking robust database solutions.
  • 19
    Timescale Reviews
    TimescaleDB is the most popular open-source relational database that supports time-series data. Fully managed or self-hosted. You can rely on the same PostgreSQL that you love. It has full SQL, rock-solid reliability and a huge ecosystem. Write millions of data points per node. Horizontally scale up to petabytes. Don't worry too much about cardinality. Reduce complexity, ask more questions and build more powerful applications. You will save money with 94-97% compression rates using best-in-class algorithms, and other performance improvements. Modern cloud-native relational database platform that stores time-series data. It is based on PostgreSQL and TimescaleDB. This is the fastest, easiest, and most reliable way to store all of your time-series information. All observability data can be considered time-series data. Time-series problems are those that require efficient solutions to infrastructure and application problems.
  • 20
    Altibase Reviews
    Altibase stands out as a robust, high-performance relational database, designed for enterprise use and available as an open-source solution. It combines the speed of in-memory processing with the extensive storage capabilities of on-disk databases, achieving performance that is tenfold faster than traditional on-disk systems. Businesses have consistently favored Altibase over major competitors like Oracle, IBM, and Microsoft due to its effectiveness. Since its inception in 1999, Altibase has successfully transitioned numerous conventional on-disk databases in various sectors that demand real-time data solutions. The platform boasts over 650 enterprise clients globally, including 8 companies from the Fortune Global 500, and supports thousands of critical deployments across the world. With a wealth of mature features and functionalities, Altibase's open-source nature is complemented by its advanced scale-out technology, known as sharding. Additionally, it offers a cost-effective alternative with no licensing fees, alongside flexible subscription options. With two decades of expertise, Altibase has effectively addressed more than 6,000 mission-critical use cases, affirming its reliability in high-stakes environments.
  • 21
    Apache DataFusion Reviews

    Apache DataFusion

    Apache Software Foundation

    Free
    Apache DataFusion is a versatile and efficient query engine crafted in Rust, leveraging Apache Arrow for its in-memory data representation. It caters to developers engaged in creating data-focused systems, including databases, data frames, machine learning models, and real-time streaming applications. With its SQL and DataFrame APIs, DataFusion features a vectorized, multi-threaded execution engine that processes data streams efficiently and supports various partitioned data sources. It is compatible with several native formats such as CSV, Parquet, JSON, and Avro, and facilitates smooth integration with popular object storage solutions like AWS S3, Azure Blob Storage, and Google Cloud Storage. The architecture includes a robust query planner and an advanced optimizer that boasts capabilities such as expression coercion, simplification, and optimizations that consider distribution and sorting, along with automatic reordering of joins. Furthermore, DataFusion allows for extensive customization, enabling developers to incorporate user-defined scalar, aggregate, and window functions along with custom data sources and query languages, making it a powerful tool for diverse data processing needs. This adaptability ensures that developers can tailor the engine to fit their unique use cases effectively.
  • 22
    VoltDB Reviews
    Volt Active Data is a sophisticated data platform designed to streamline your entire technology stack, enhancing speed and cost-effectiveness, enabling applications and businesses to effortlessly scale in alignment with the extremely low latency service level agreements (SLAs) demanded by 5G, IoT, edge computing, and future innovations. It is tailored to complement your current big data assets, including NoSQL, Hadoop, Kubernetes, Kafka, and conventional databases or data warehouses, as it replaces the multiple layers usually necessary for making contextual decisions on streaming data with a singular, cohesive layer that facilitates ingestion to action in under 10 milliseconds. The digital landscape is inundated with data that is generated, stored, often overlooked, and ultimately discarded. "Active Data" refers to the information that requires immediate action for businesses to derive value from it. Numerous traditional and NoSQL data storage solutions are available for managing such data; however, there exists also a category of data that can be monetized, provided that swift action is taken to 'influence the moment' before the opportunity slips away. By harnessing the capabilities of Volt Active Data, organizations can ensure they are not merely collecting data but effectively leveraging it for real-time decision-making and strategic advantage.
  • 23
    Valentina Studio Reviews
    Explore, create, and manage databases utilizing Valentina DB, MySQL, MariaDB, PostgreSQL, and SQLite at no cost. Generate comprehensive business reports through Valentina Studio Pro, either on Valentina Server or within an application that utilizes an Application Developer Kit. Engage in backward engineering with standard practices while also employing forward engineering techniques in Valentina Studio Pro. Conduct reverse engineering to produce diagrams for pre-existing databases, and easily integrate new elements into these diagrams. Write SQL queries with features such as auto-completion and syntax highlighting, while also defining and managing favorite queries and accessing recent ones seamlessly. Benefit from a function browser that provides a dictionary for each SQL function as well as consoles that report errors, warnings, and performance metrics. Efficiently search and export result records in various formats including CSV, JSON, and Excel, while simultaneously editing the properties of multiple database objects. Delve deep into tables and fields with remarkable speed, and manage the addition or removal of users and groups, along with their associated privileges. This multifaceted approach ensures that users can handle database management with efficiency and effectiveness.
  • 24
    QueryPlus Reviews
    QueryPlus© signifies a breakthrough in insurance reporting solutions. By utilizing your input, it generates intricate SQL queries seamlessly in the background, presenting the results in an easy-to-navigate grid format that allows for effortless data manipulation through drag-and-drop actions. Whether you require customer ranking insights or detailed accounting reports, QueryPlus© ensures that you can access essential business information promptly and effectively. For agencies with more sophisticated reporting requirements, the platform offers a tailored report designer, empowering users to craft even the most intricate reports using personalized datasets. While many users prefer Excel for data handling, QueryPlus© stands out as the ideal choice for those seeking comprehensive and powerful reporting capabilities. This tool also features a user-friendly, visually-driven, wizard-based environment for report design, making it accessible and efficient for all users. Ultimately, QueryPlus© combines versatility with ease of use, catering to a wide range of reporting needs and preferences.
  • 25
    IBM Db2 Reviews
    IBM Db2 encompasses a suite of data management solutions, prominently featuring the Db2 relational database. These offerings incorporate AI-driven functionalities designed to streamline the management of both structured and unstructured data across various on-premises and multicloud settings. By simplifying data accessibility, the Db2 suite empowers businesses to leverage the advantages of AI effectively. Most components of the Db2 family are integrated within the IBM Cloud Pak® for Data platform, available either as additional features or as built-in data source services, ensuring that nearly all data is accessible across hybrid or multicloud frameworks to support AI-driven applications. You can easily unify your transactional data repositories and swiftly extract insights through intelligent, universal querying across diverse data sources. The multimodel functionality helps reduce expenses by removing the necessity for data replication and migration. Additionally, Db2 offers enhanced flexibility, allowing for deployment on any cloud service provider, which further optimizes operational agility and responsiveness. This versatility in deployment options ensures that businesses can adapt their data management strategies as their needs evolve.
  • 26
    Fujitsu Enterprise Postgres Reviews
    Fujitsu Enterprise Postgres stands out as a highly dependable and powerful relational database tailored for businesses that demand exceptional query performance and consistent availability. Built on the acclaimed open-source platform PostgreSQL, it incorporates additional enterprise-level features that enhance both security and efficiency. The installation and management of Fujitsu Enterprise Postgres are handled by skilled database professionals from Fujitsu, who are also available to support the transition of data from your current database systems. Given its foundation in PostgreSQL, FEP offers remarkable compatibility with various systems and applications. Furthermore, the user-friendly, streamlined graphical interface significantly enhances the experience for database administrators carrying out essential functions like executing queries, conducting scans, and performing backups, ultimately making data management and reporting more user-friendly and effective. This comprehensive approach ensures that organizations can leverage their data to its fullest potential.
  • 27
    H2 Reviews
    Welcome to H2, a Java SQL database designed for efficient data management. In its embedded mode, an application can access the database directly within the same Java Virtual Machine (JVM) using JDBC, making it the quickest and simplest connection method available. However, a drawback of this setup is that the database can only be accessed by one virtual machine and class loader at a time. Like other modes, it accommodates both persistent and in-memory databases without restrictions on the number of simultaneous database accesses or open connections. On the other hand, the mixed mode combines features of both embedded and server modes; the initial application that connects to the database operates in embedded mode while simultaneously launching a server to enable other applications in different processes or virtual machines to access the same data concurrently. This allows local connections to maintain the high speed of the embedded mode, whereas remote connections may experience slight delays. Overall, H2 provides a flexible and robust solution for various database needs.
  • 28
    Dqlite Reviews
    Dqlite is a high-speed, embedded SQL database that offers persistent storage and utilizes Raft consensus, making it an ideal choice for resilient IoT and Edge devices. Known as "distributed SQLite," Dqlite expands SQLite's capabilities across multiple machines, ensuring automatic failover and high availability to maintain application uptime. It employs C-Raft, an optimized implementation of Raft in C, which provides exceptional performance in transactional consensus and fault tolerance while maintaining SQLite’s renowned efficiency and compact size. C-Raft is specifically designed to reduce transaction latency, enabling faster operations. Both C-Raft and Dqlite are implemented in C, ensuring they are portable across various platforms. Released under the LGPLv3 license with a static linking exception, it guarantees broad compatibility. The system features a standard CLI pattern for initializing databases and managing the joining or leaving of voting members. It also incorporates minimal, configurable delays for failover alongside automatic leader election processes. Additionally, Dqlite supports a disk-backed database option with in-memory capabilities and adheres to SQLite's transaction protocols. The blend of these features makes Dqlite a powerful solution for modern data storage needs.
  • 29
    IBM Informix on Cloud Reviews
    Provides the full range of features found in on-premises Informix deployments, but with reduced cost, complexity, and risk associated with infrastructure management. The IBM® Informix® on Cloud solution delivers an Informix database hosted on IBM Cloud®, allowing customers to enjoy the extensive capabilities of an on-premises setup while minimizing the challenges of infrastructure upkeep. With Informix on Cloud, users benefit from a high-performance engine that seamlessly combines time series, spatial, NoSQL, and SQL data, along with convenient access via MQTT, REST, and MongoDB APIs. This offering not only simplifies and accelerates cloud deployments but also harnesses the superior performance of the Informix engine, which is designed to integrate diverse data types effortlessly. By leveraging flexible hosting options and adaptable software licensing, businesses can lower their infrastructure maintenance costs and streamline operational complexity, all while selecting the size that best fits their specific requirements, backed by continuous support. This makes Informix on Cloud an ideal choice for organizations looking to modernize their data management strategies without the traditional burdens of self-hosting.
  • 30
    MariaDB Reviews
    MariaDB Platform is an enterprise-level open-source database solution. It supports transactional, analytical, and hybrid workloads, as well as relational and JSON data models. It can scale from standalone databases to data warehouses to fully distributed SQL, which can execute millions of transactions per second and perform interactive, ad-hoc analytics on billions upon billions of rows. MariaDB can be deployed on prem-on commodity hardware. It is also available on all major public cloud providers and MariaDB SkySQL, a fully managed cloud database. MariaDB.com provides more information.
  • 31
    Amazon Aurora Reviews
    Amazon Aurora is a cloud-based relational database that is compatible with both MySQL and PostgreSQL, merging the high performance and reliability of traditional enterprise databases with the ease and affordability of open-source solutions. Its performance surpasses that of standard MySQL databases by as much as five times and outpaces standard PostgreSQL databases by three times. Additionally, it offers the security, availability, and dependability synonymous with commercial databases, all at a fraction of the cost—specifically, one-tenth. Fully managed by the Amazon Relational Database Service (RDS), Aurora simplifies operations by automating essential tasks such as hardware provisioning, database configuration, applying patches, and conducting backups. The database boasts a self-healing, fault-tolerant storage system that automatically scales to accommodate up to 64TB for each database instance. Furthermore, Amazon Aurora ensures high performance and availability through features like the provision of up to 15 low-latency read replicas, point-in-time recovery options, continuous backups to Amazon S3, and data replication across three distinct Availability Zones, which enhances data resilience and accessibility. This combination of features makes Amazon Aurora an appealing choice for businesses looking to leverage the cloud for their database needs while maintaining robust performance and security.
  • 32
    NuoDB Reviews
    As the trend towards distributed applications and architectures continues to grow, it is essential for your database to adapt accordingly. Discover the flexibility of a distributed SQL database that allows you to deploy it wherever and whenever you need, tailored to your specific requirements. Transition your current SQL applications to a robust multi-node setup that can effortlessly scale both up and down as demand fluctuates. Our Transaction Engines (TEs) and Storage Managers (SMs) collaborate seamlessly to maintain ACID compliance across various nodes. By implementing a distributed architecture, your database can withstand the failure of one or more nodes without compromising access. You can strategically deploy TEs and SMs to align with your changing workload demands or across the various environments utilized by your teams, whether in private clouds, public clouds, hybrid setups, or across multiple cloud services. This adaptability ensures that your database remains resilient and efficient in a dynamic technological landscape.
  • 33
    Huawei RDS Reviews

    Huawei RDS

    Huawei Cloud

    $0.08 per hour
    RDS for MySQL is a robust and scalable database service available in the cloud. You can set up your databases in mere minutes, allowing you to concentrate on developing applications without the burden of complex database operations. This service effectively eliminates the stress associated with database maintenance. With a few simple clicks, a MySQL database can be created in no time. RDS for MySQL streamlines both software and hardware deployments while managing your databases by automating tasks such as patch installations, performance monitoring, dynamic scaling, and failover processes when necessary. Thanks to optimized kernel thresholds, RDS for MySQL is highly efficient in processing large volumes of simultaneous requests, outperforming the traditional MySQL community edition. It employs implicit primary keys, ensuring that primary and standby replication occurs with minimal delay. Even during peak load periods, there is no risk of data loss. Additionally, as your needs for storage expand, you can effortlessly allocate 1 TB of storage for read replicas instantly without experiencing any downtime, making it an excellent choice for growing applications. This level of convenience and reliability makes RDS for MySQL a preferred option among developers and businesses alike.
  • 34
    Baidu RDS Reviews

    Baidu RDS

    Baidu

    $10.99 per month
    RDS for MySQL, or Relational Database Service for MySQL, offers a robust and reliable cloud-based relational database solution designed for high performance. This service features an intuitive web interface for management, comprehensive data backup and recovery options, and extensive security management and monitoring capabilities. RDS for MySQL caters to various needs with its three available series: the basic stand-alone version, the dual high-availability version, and the Raft financial version. By default, it complies with standard database protocols and incorporates essential functionalities such as monitoring, automatic failover, data backup and recovery, and instance management. Additionally, it addresses customers’ advanced data management and storage needs through tools like slow SQL statistics and diagnosis, along with dependable services like cross-domain hot instance groups. It also enables disaster recovery within a single availability zone as well as across multiple zones, ensuring maximum data protection and availability. This comprehensive suite of features makes RDS for MySQL an optimal choice for businesses seeking efficient database management solutions.
  • 35
    CA IDMS Reviews
    Experience outstanding and economical database performance while enjoying unparalleled flexibility with CA's established, web-based, high-efficiency mainframe relational database management system. This robust database offers dependable, scalable, secure, and cost-effective management solutions. It facilitates seamless participation in mobile-to-mainframe projects, cloud computing, web integration, and analytics through its open capabilities. Engineered for scalability, it adeptly addresses the growing demands of businesses while focusing on operational efficiency to help minimize expenses. Users of IDMS can swiftly and effortlessly access data to harness solutions that diagnose system challenges, automate processes and notifications, and generate insightful recommendations for optimization. Additionally, next-generation users can execute and automate IDMS administration tasks using familiar tools and scripting languages. Together, let’s embark on a collaborative journey to explore and understand your project requirements in depth. By aligning our expertise with your vision, we can craft tailored solutions that meet your specific needs.
  • 36
    HEAVY.AI Reviews
    HEAVY.AI is a pioneer in accelerated analysis. The HEAVY.AI platform can be used by government and business to uncover insights in data that is beyond the reach of traditional analytics tools. The platform harnesses the huge parallelism of modern CPU/GPU hardware and is available both in the cloud or on-premise. HEAVY.AI was developed from research at Harvard and MIT Computer Science and Artificial Intelligence Laboratory. You can go beyond traditional BI and GIS and extract high-quality information from large datasets with no lag by leveraging modern GPU and CPU hardware. To get a complete picture of what, when and where, unify and explore large geospatial or time-series data sets. Combining interactive visual analytics, hardware accelerated SQL, advanced analytics & data sciences frameworks, you can find the opportunity and risk in your enterprise when it matters most.
  • 37
    Vitess Reviews
    Vitess is a database clustering solution designed for horizontally scaling MySQL, merging key MySQL capabilities with the expansive scalability typically associated with NoSQL databases. Its intrinsic sharding capabilities allow for database growth without necessitating additional sharding logic within your application. Additionally, Vitess proficiently rewrites queries that could negatively impact performance, while employing caching strategies to manage queries effectively and minimize the risk of duplicate queries overwhelming your database. Functions such as master failovers and backups are seamlessly managed by Vitess, which also incorporates a lock server to oversee and manage servers, allowing your application to operate without concern for the underlying database architecture. By reducing the memory overhead associated with MySQL connections, Vitess enables servers to accommodate thousands of simultaneous connections efficiently. While native sharding isn't a feature of MySQL, the need for sharding is often crucial as your database expands, making Vitess an invaluable tool for scaling operations. Consequently, using Vitess can enhance both performance and reliability as you navigate the complexities of growing database demands.
  • 38
    SAP Adaptive Server Enterprise (ASE) Reviews
    Transform and enhance your transaction-driven applications both on-premise and in the cloud by using SAP Adaptive Server Enterprise (SAP ASE). This cutting-edge SQL database server utilizes a relational management framework designed to satisfy the increasing needs for performance, reliability, and efficiency across various sectors. Streamline your operations and cut costs with features like workload analyzer and workload profiler that ensure built-in high availability, effective disaster recovery, and optimal resource management. Expand your capacity for transactions, data, and users while boosting performance with advanced technology solutions, including MemScale and XOLTP. By minimizing overhead on production databases, Q-Free employees can concentrate more on driving innovation and delivering value. You can deploy SAP ASE either on-premise or through infrastructure as a service (IaaS), ensuring high performance and availability essential for executing mission-critical transactions. Additionally, this versatility allows businesses to adapt to evolving market demands swiftly.
  • 39
    XTDB Reviews
    XTDB is a unique SQL database that offers immutability to enhance application development and guarantee data compliance. Its automatic data history preservation feature allows for extensive time-travel queries, enabling users to execute as-of queries and audits seamlessly with SQL commands. This innovative tool is relied upon by a multitude of organizations to revolutionize their dynamic and temporal applications. Getting started with XTDB is straightforward, whether through HTTP, plain SQL, or various programming languages, as it only necessitates a client driver or Curl. Users can easily insert data in an immutable way, conduct time-based queries, and perform intricate joins. Furthermore, risk systems see direct advantages from its bitemporal modeling capabilities. By employing valid time, the database facilitates the correlation of out-of-sync trade data, simplifying compliance procedures. One of the significant challenges organizations face is the continuous change in data exposure; however, XTDB addresses this issue effectively by streamlining data exchange and enabling advanced temporal analysis. Additionally, modeling future changes in pricing, taxes, and discounts necessitates robust temporal query capabilities, which XTDB provides efficiently. Ultimately, XTDB stands out as a powerful solution for managing complex temporal data needs.
  • 40
    CrateDB Reviews
    The enterprise database for time series, documents, and vectors. Store any type data and combine the simplicity and scalability NoSQL with SQL. CrateDB is a distributed database that runs queries in milliseconds regardless of the complexity, volume, and velocity.
  • 41
    MonetDB Reviews
    Explore a diverse array of SQL features that allow you to build applications ranging from straightforward analytics to complex hybrid transactional and analytical processing. If you're eager to uncover insights from your data, striving for efficiency, or facing tight deadlines, MonetDB can deliver query results in just seconds or even faster. For those looking to leverage or modify their own code and requiring specialized functions, MonetDB provides hooks to integrate user-defined functions in SQL, Python, R, or C/C++. Become part of the vibrant MonetDB community that spans over 130 countries, including students, educators, researchers, startups, small businesses, and large corporations. Embrace the forefront of analytical database technology and ride the wave of innovation! Save time with MonetDB’s straightforward installation process, allowing you to quickly get your database management system operational. This accessibility ensures that users of all backgrounds can efficiently harness the power of data for their projects.
  • 42
    CompareData Reviews

    CompareData

    Zidsoft

    $795 single user license
    Compare and synchronize sql data visually. Compare table, view or query data and see differences highlighted on the screen. Compare table metadata, generate sql sync script, use the command line and internal scheduling to automate comparison and data synchronization. • Cross-dbms support with ODBC. • Compare resultsets of any size. • Native 64-bit application. • Multi-threaded, multi-core support. • 30-day full trial. • Free for comparing data and metadata.
  • 43
    SSuite MonoBase Database Reviews
    You can create flat or relational databases with unlimited fields, tables, and rows. A custom report builder is included. Create custom reports by connecting to compatible ODBC databases. You can create your own databases. Here are some highlights: Filter tables instantly - Ultra simple graphical-user-interface - One-click table and data form creation - You can open up to 5 databases simultaneously Export your data to comma-separated files - Create custom reports to all your databases - A complete helpfile for creating database reports - You can print tables and queries directly from your data grid - Supports any SQL standard your ODBC compatible databases require For best performance and user experience, please install and run this database app with full administrator rights. Requirements: . 1024x768 Display Size . Windows 98 / XP / Windows 8 / Windows 10 - 32bit or 64bit No Java or DotNet are required. Green Energy Software. One step at a time, saving the planet
  • 44
    BigLake Reviews
    BigLake serves as a storage engine that merges the functionalities of data warehouses and lakes, allowing BigQuery and open-source frameworks like Spark to efficiently access data while enforcing detailed access controls. It enhances query performance across various multi-cloud storage systems and supports open formats, including Apache Iceberg. Users can maintain a single version of data, ensuring consistent features across both data warehouses and lakes. With its capacity for fine-grained access management and comprehensive governance over distributed data, BigLake seamlessly integrates with open-source analytics tools and embraces open data formats. This solution empowers users to conduct analytics on distributed data, regardless of its storage location or method, while selecting the most suitable analytics tools, whether they be open-source or cloud-native, all based on a singular data copy. Additionally, it offers fine-grained access control for open-source engines such as Apache Spark, Presto, and Trino, along with formats like Parquet. As a result, users can execute high-performing queries on data lakes driven by BigQuery. Furthermore, BigLake collaborates with Dataplex, facilitating scalable management and logical organization of data assets. This integration not only enhances operational efficiency but also simplifies the complexities of data governance in large-scale environments.
  • 45
    ERBuilder Reviews
    ERBuilder Data Modeler, a GUI data modeling tool, allows developers to visualize, design and model databases using entity relationship diagrams. It automatically generates the most common SQL databases. Share the data model documentation with your team. You can optimize your data model with advanced features like schema comparison, schema synchronization, and test data generation.