Alternatives to Raijin

What makes eXtremeDB platform independent? - Hybrid storage of data. Unlike other IMDS databases, eXtremeDB databases are all-in-memory or all-persistent. They can also have a mix between persistent tables and in-memory table. eXtremeDB's Active Replication Fabric™, which is unique to eXtremeDB, offers bidirectional replication and multi-tier replication (e.g. edge-to-gateway-to-gateway-to-cloud), compression to maximize limited bandwidth networks and more. - Row and columnar flexibility for time series data. eXtremeDB supports database designs which combine column-based and row-based layouts in order to maximize the CPU cache speed. - Client/Server and embedded. eXtremeDB provides data management that is fast and flexible wherever you need it. It can be deployed as an embedded system and/or as a clients/server database system. eXtremeDB was designed for use in resource-constrained, mission-critical embedded systems. Found in over 30,000,000 deployments, from routers to satellites and trains to stock market world-wide.

You can use Ignite as a traditional SQL Database by leveraging JDBC drivers or ODBC drivers. Or, you can use the native SQL APIs for Java, C# and C++, Python, or other programming languages. You can easily join, group, aggregate, or order your distributed on-disk and in-memory data. You can accelerate your existing applications up to 100x by using Ignite as an in memory cache or in-memory grid that is deployed over one of several external databases. You can query, transact, and calculate on this cache. Ignite is a database that scales beyond your memory capacity to support modern transactional and analytical workloads. Ignite allocates memory to your hot data and writes to disk when applications query cold records. Execute custom code up to kilobytes in size over petabytes. Your Ignite database can be transformed into a distributed supercomputer that can perform low-latency calculations, complex analysis, and machine learning.

Couchbase, unlike other NoSQL database, provides a multicloud to edge enterprise-class database that offers robust capabilities for business-critical apps on a highly available and scalable platform. Couchbase is a distributed cloud native database that runs on any cloud. It can be managed by the customer or fully managed. Couchbase is built using open standards and combines the best of NoSQL and SQL with the power and familiarity that mainframes and relational databases provide. Couchbase Server is an open-source, multipurpose distributed database. It combines the best of relational databases, such as SQL, ACID transactions, and JSON, with a foundation which is fast and scalable. It is used in many industries for things such as user profiles, dynamic catalogs, GenAI applications, vector search, caching at high speed, and more.

QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Big Data (Hadoop & NoSQL) Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise Application/ERP Testing Features Supported Technologies - 200+ data stores are supported QuerySurge Projects - multi-project support Data Analytics Dashboard - provides insight into your data Query Wizard - no programming required Design Library - take total control of your custom test desig BI Tester - automated business report testing Scheduling - run now, periodically or at a set time Run Dashboard - analyze test runs in real-time Reports - 100s of reports API - full RESTful API DevOps for Data - integrates into your CI/CD pipeline Test Management Integration QuerySurge will help you: - Continuously detect data issues in the delivery pipeline - Dramatically increase data validation coverage - Leverage analytics to optimize your critical data - Improve your data quality at speed

Databend is an agile, cloud-native, modern data warehouse that delivers high-performance analytics at a low cost for large-scale data processing. It has an elastic architecture which scales dynamically in order to meet the needs of different workloads. This ensures efficient resource utilization and lower operating costs. Databend, written in Rust offers exceptional performance thanks to features such as vectorized query execution, columnar storage and optimized data retrieval and processing speed. Its cloud-first approach allows for seamless integration with cloud platforms and emphasizes reliability, consistency of data, and fault tolerance. Databend is a free and open-source solution that makes it an accessible and flexible choice for data teams who want to handle big data analysis in the cloud.

NoSQL, a domain-specific programming language, is used to access, manage, and manipulate non-tabular database data.

HarperDB is an integrated distributed systems platform which combines database, caching and application functions into one technology. It allows you to deliver global back-end services at a lower cost, with higher performance and less effort. Install user-programmed apps and pre-built additions on top of data for a back end with ultra-low latencies. Distributed database with a high throughput per second, delivering orders of magnitude higher than NoSQL alternatives. Native real-time pub/sub data processing and communication via MQTT interfaces, WebSockets, and HTTP interfaces. HarperDB provides powerful data-in motion capabilities without adding additional services such as Kafka. Focus on features that will help your business grow, rather than fighting complicated infrastructure. You can't slow down the speed of light but you can reduce the amount of light between your users' data and them.

We'll handle all database maintenance for you: software backups and monitoring, fault tolerance and updates. ClickHouse can handle large amounts of data quickly and efficiently, while column-based data storage is space-saving due to its strong data compression. All DBMS connections use the TLS protocol. Data is protected in accordance with local regulatory requirements, GDPR and ISO industry standards. You can visualize the data structure of your ClickHouse cluster, and you can send SQL queries directly from the management console. The service provides data replication among database hosts (both within and between availability zone) and switches over automatically to a backup copy in the event of failure.

Natively store data for graphs, documents and search needs. One query language allows for feature-rich access. You can map data directly to the database and access it using the best patterns for the job: traversals, joins search, ranking geospatial, aggregateions - you name them. Polyglot persistence without the cost. You can easily design, scale, and adapt your architectures to meet changing needs with less effort. Combine the flexibility and power of JSON with graph technology to extract next-generation features even from large datasets.

Firebolt solves impossible data problems with extreme speed and elasticity on any scale. Firebolt has completely redesigned its cloud data warehouse to provide an extremely fast and efficient analytics experience at all scales. You can analyze more data at higher levels of detail with lightning fast queries, which is an order-of-magnitude improvement in performance. You can easily scale up or decrease to support any workload, data amount, and concurrent users. Firebolt believes data warehouses should be easier than we are used to. We strive to make everything that was previously difficult and labor-intensive, simple. Cloud data warehouse providers make money from the cloud resources that you use. We don't! Finally, a pricing system that is fair, transparent, and allows for scale without breaking the bank.

Redis Labs is the home of Redis. Redis Enterprise is the best Redis version. Redis Enterprise is more than a cache. Redis Enterprise can be free in the cloud with NoSQL and data caching using the fastest in-memory database. Redis can be scaled, enterprise-grade resilience, massive scaling, ease of administration, and operational simplicity. Redis in the Cloud is a favorite of DevOps. Developers have access to enhanced data structures and a variety modules. This allows them to innovate faster and has a faster time-to-market. CIOs love the security and expert support of Redis, which provides 99.999% uptime. Use relational databases for active-active, geodistribution, conflict distribution, reads/writes in multiple regions to the same data set. Redis Enterprise offers flexible deployment options. Redis Labs is the home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.

A streaming database is designed to store, process, analyze, and ingest large data streams. It is a modern data infrastructure which unifies messaging, stream processing and storage to help you get the most out of your data in real time. Massive amounts of data are continuously ingested from many sources, including IoT device sensor sensors. A specially designed distributed streaming data storage cluster can store millions of data streams securely. Subscribe to HStreamDB topics to access data streams in real time as fast as Kafka. You can access and playback data streams at any time thanks to the permanent stream storage. Data streams can be processed based on event-time using the same SQL syntax that you use to query relational databases. SQL can be used to filter, transform and aggregate multiple data streams.

Appwrite offers a cloud backend solution, simplifying the construction of your backend infrastructure with minimal coding across preferred languages and frameworks. This platform empowers developers to concentrate on creativity and design, minimizing the grind of backend development chores. Products Appwrite provides you with: - Authentication: 30+ login methods, support for teams, roles, and user labels - Databases: Never paused, fast in-memory caching, advanced permission models, relationships support - Storage: File encryption at rest and transit, built-in image transformation capabilities, advanced compression with WebP/Brotli support - Functions: Automatic deployment from GitHub - Messaging: SMS, email, and push notification support - Real-time: Unlimited subscriptions By utilizing Appwrites’ features, you save time and ensure your products are stable and secure for your end users. With Appwrite, you always own your data, so you never have to fear vendor lock-in.

*GraphDB allows the creation of large knowledge graphs by linking diverse data and indexing it for semantic search. * GraphDB is a robust and efficient graph database that supports RDF and SPARQL. The GraphDB database supports a highly accessible replication cluster. This has been demonstrated in a variety of enterprise use cases that required resilience for data loading and query answering. Visit the GraphDB product page for a quick overview and a link to download the latest releases. GraphDB uses RDF4J to store and query data. It also supports a wide range of query languages (e.g. SPARQL and SeRQL), and RDF syntaxes such as RDF/XML and Turtle.

HSQLDB (HyperSQL DataBase), is the most popular SQL relational database system in Java. It is a small, fast, multithreaded, transactional database engine that supports both embedded and server modes. It also includes simple GUI query tools and a powerful command-line SQL tool. HSQLDB supports all the SQL Standard features found in an open-source database engine, including the SQL:2016 core language features as well as a wide range of optional SQL:2016 features. With only two exceptions, it supports Advanced ANSI-92 SQL. Many extensions to the Standard are supported, including syntax compatibility modes, and features of popular database engines.

Kwil is the first community-owned, decentralized SQL database solution for building advanced dApps. Kwil enables advanced dApp creation in a significantly shorter time frame by providing a highly scalable SQL data base that feels natural to Web2 developers. Developers are required to manage complex and unscalable blockchain-based data management systems in order to build on a distributed architecture. KwilDB simplifies decentralized development while simultaneously offering a cost-effective and scalable solution to store and query large amounts of data. KwilDB allows dApps to seamlessly connect to data from other applications by allowing for highly scalable, decentralized data storage and querying. KwilDB allows for radically faster development, the ability to execute complex queries across large data sets quickly, and easy access to data from other apps, which results in extreme composability.

Turso, a globally distributed SQLite compatible database service, is designed to provide low latency data access on various platforms including online, off-line, and on devices. Turso, which is built on libSQL (an open-source fork SQLite), allows developers to deploy databases closer to their users and enhance application performance. It integrates seamlessly with multiple frameworks and infrastructure providers. This allows for efficient data management in applications such as AI agents and large language models. Turso provides features such as unlimited databases, instant branching with rollback, and native vector searches at scale. This allows for efficient parallel vector searching across users, instances or contexts by using SQL database integration. The platform is designed to be secure, with encryption in transit and at rest. It also offers an API-first approach to programmatic database management.

Hydra is a column-oriented Postgres that is open source. No code changes required to query billions of rows. Hydra parallelizes, vectorizes, and aggregates (COUNTS, SUMs, AVGs) to deliver the speed that you've always desired on Postgres. Boost performance in every size! Hydra can be installed in just 5 minutes, without requiring any changes to your tools, extensions, syntax, data model or data model. Hydra Cloud allows for smooth sailing and fully managed operations. Different industries have different requirements. Take control of your analytics with powerful Postgres custom functions and extensions. Built by you for you. Hydra is the fastest Postgres on the market. Boost performance by using columnar storage, query parallelization, and vectorization.

ASKY - Database-like Power for Your CSV Files... Just Point and Click! Fix & find bad CSV data. Ask. Get totals/avgs. It's fast and easy! Database-like functionality... without all the database hassles. ULTRA HIGH SPEEDY: ASKY can fly through large plain-text CSV files thanks to optimized program code design. EASY TO USE: No language or commands to learn. Select your data files and make a few settings before clicking GO. SQL databases? They are not necessary. ASKY is industrial-strength, packed with tools. Use UNLIMITED files/data sizes. Sort the bad data from the good: Do you have data that doesn't line up? The SIFTER will help you separate the bad stuff. You can fix them: The UTILITIES section contains specialized tools that allow you to move/replace data, add/delete field information, rearrange field order, and even delete fields. You can query it all: Use point-and-click "QUERY" to pull records that match your exact criteria

Aqua Data Studio is a tool for database administrators and database developers. It also helps data and business analysts manage data platforms and analyze data visually. It offers a unique combination, unlike its competitors, of a full-featured database editor and visual analytics. It also supports flexible import and export, advanced SQL queries optimization, extensive comparisons of databases and data, as well as powerful team collaboration.

Oracle Big Data SQL Cloud Service allows organizations to instantly analyze data across Apache Hadoop and NoSQL. This service leverages their existing SQL skills, security policy, and applications with extreme speed. Big Data SQL allows you to simplify data science and unlock data lakes. Big Data SQL provides users with a single place to store and secure data in Hadoop, NoSQL systems, and Oracle Database. Seamless metadata integration, and queries that combine data from Oracle Database and Hadoop and NoSQL database data. Automated mappings can be done from metadata stored in HCatalog or the Hive Metastore to Oracle Tables using utility and conversion routines. Administrators have the ability to set enhanced access parameters that allow them to control data access behavior and column mapping. Multiple cluster support allows one Oracle Database to query multiple Hadoop clusters or NoSQL systems.

ParadeDB adds column-oriented storage to Postgres tables and vectorized query processing. Users can choose between column- and row-oriented storage when creating tables. Column-oriented tables can be stored as Parquet and managed by Delta Lake. Search by keyword, with BM25 scoring and configurable tokenizers. Multi-language support. Search by semantic meaning, with support for dense and sparse vectors. Combining the strengths of both full text and similarity searches, you can get better results. ParadeDB is ACID compliant and has concurrency control across all transactions. ParadeDB integrates seamlessly with the Postgres ecosystem including clients, extensions and libraries.

QuasarDB is Quasar's brain. It is a high-performance distributed, column-oriented, timeseries database management software system that delivers real-time data for petascale use cases. You can save up to 20X on your disk usage Quasardb compression and ingestion are unmatched. Feature extraction can be performed up to 10,000 times faster. QuasarDB is able to extract features from raw data in real-time thanks to a combination of a builtin map/reduce engine, an aggregate engine that leverages SIMD from modern processors, and stochastic indices that consume virtually no disk space.

SQL Workbench/J, a cross-platform, DBMS-independent SQL query tool, is available for free. It is written in Java, and should run on any OS that has a Java Runtime Environment. Its main focus is to run SQL scripts, either interactively or in batches, and export/import functions. Graphical query building and more advanced DBA tasks do not fall under the purview of this program. Powerful export command to create text files (aka "CSV") or XML, HTML, SQL (including BLOB) With one command, all user tables can be exported to a directory. Export files can be compressed automatically. You can import text, XML, and spreadsheets with power. One command can import a set of files, including compressed files, from a directory. To insert the data correctly, foreign key constraints are detected. For differences, compare two database schemas. XSLT can transform the XML output into the appropriate SQL ALTER statements.

These are just a few of the areas Database Tour offers competitive advantages over other database tools on the market. Prepare database queries in SQL editors using syntax highlighting, code completion and Ctrl+clickable objects. Multiple windows can be opened with different transactions. Multi-statement SQL scripts can be executed. Each query window's SQL execution statistics can be collected. You can perform useful operations with databases such as replacing text, batch processing, and searching. Database Tour data grids allow you to view CLOB/MEMO (large-text) and graphic data, expand rows and use autoscrolling, sorting group of records, selecting groups of records, copying data, etc. Conditional formatting allows data in tables to be highlighted based on their content. A tool is available to work with BLOB fields such as large graphics and text.

Aerospike is the global leader for next-generation, real time NoSQL data solutions at any scale. Aerospike helps enterprises overcome seemingly impossible data bottlenecks and compete with other companies at a fraction of the cost and complexity of legacy NoSQL databases. Aerospike's Hybrid Memory Architecture™ is a patented technology that unlocks the full potential of modern hardware and delivers previously unimaginable value. It does this by delivering unimaginable value from huge amounts of data at both the edge, core, and in the cloud. Aerospike empowers customers with the ability to instantly combat fraud, dramatically increase shopping cart sizes, deploy global digital payment networks, and provide instant, one-to-1 personalization for millions. Aerospike customers include Airtel and Banca d'Italia as well as Snap, Verizon Media, Wayfair, PayPal, Snap, Verizon Media, and Nielsen. The company's headquarters is in Mountain View, California. Additional locations are in London, Bengaluru, India, and Tel Aviv in Israel.

The TigerGraph™, a graph platform based on its Native Parallel Graph™, technology, represents the next evolution in graph database evolution. It is a complete, distributed parallel graph computing platform that supports web-scale data analytics in real time. Combining the best ideas (MapReduce, Massively Parallel Processing, and fast data compression/decompression) with fresh development, TigerGraph delivers what you've been waiting for: the speed, scalability, and deep exploration/querying capability to extract more business value from your data.

A vector database designed for scalable similarity searches. Open-source, highly scalable and lightning fast. Massive embedding vectors created by deep neural networks or other machine learning (ML), can be stored, indexed, and managed. Milvus vector database makes it easy to create large-scale similarity search services in under a minute. For a variety languages, there are simple and intuitive SDKs. Milvus is highly efficient on hardware and offers advanced indexing algorithms that provide a 10x speed boost in retrieval speed. Milvus vector database is used in a variety a use cases by more than a thousand enterprises. Milvus is extremely resilient and reliable due to its isolation of individual components. Milvus' distributed and high-throughput nature makes it an ideal choice for large-scale vector data. Milvus vector database uses a systemic approach for cloud-nativity that separates compute and storage.

HeatWave, a massively parallel and high-performance, in-memory query accelerator, for Oracle MySQL Database Service, accelerates MySQL performance by orders for analytics and mixed workloads. HeatWave is 6.5X faster that Amazon Redshift at half-the cost, 7X faster then Snowflake at one fifth the cost, and 1400X quicker than Amazon Aurora at half-the cost. MySQL Database Service with HeatWave allows customers to run OLTP or OLAP workloads directly in their MySQL database. This eliminates the need to move and integrate complex, time-consuming and expensive data with separate analytics databases. The new MySQL Autopilot uses machine-learning techniques to automate HeatWave. This makes it easier to use and further increases performance and scalability. HeatWave has been optimized for Oracle Cloud Infrastructure (OCI).

DbSchema allows you to visual design the schema in a group, deploy it and then document it. DbSchema also includes integrated features such as data explorer, visual query editor and data generator. This makes it an all-purpose tool for anyone who works with databases. DbSchema is compatible with all No-SQL and relational databases, including MySQL and PostgreSQL. It also supports SQLite, Microsoft SQL Server and MongoDB. MariaDB, Redshift. Snowflake. Google, and many others. DbSchema reverse-engineers the database schema and visualizes it as diagrams. Diagrams and visual tools will be used to interact with the database. DbSchema model uses its own copy of the schema structure, independent of the database. This allows you to deploy the schema on multiple databases. You can save the design model to file and store it in GIT. Then, design the schema with a team.

DBHawk enabled our customers to comply with GDPR and HIPAA, SOX and GLBA regulations. Self-Service BI & Adhoc Reporting Tool that allows you to set Data Access Policy, connect to multiple data sources, create powerful SQL charts, and dashboards. DBHawk SQL editor allows users to create, edit, and run SQL queries via a web-based interface. DBHawk Query Maker is compatible with all major databases, including Oracle, Microsoft SQL Server and PostgreSQL. A web-based central tool allows you to automate SQL tasks and batch jobs. Our all-in-one data platform provides secure access to SQL, NoSQL, and Cloud databases. Our customers trust us to protect their data and allow them to access it. Centralized Security, Auditing, and insights into your user's activities.

SQLGate is an IDE that allows you to create multiple SQL databases. It's simple and powerful. It simplifies the creation and operation of databases by providing integrated database management and development solutions. It can be customized for seven databases, which make up 83.2% in the DBMS market. These databases include Oracle, SQL Server MySQL, MariaDB and Tibero as well as PostgreSQL. SQLGate makes it easy and faster to manage large databases with large amounts of data. Multiple Languages available: Korean, English, Spanish, French, Japanese, etc..

The fastest NoSQL database in the world. The fastest NoSQL database available, capable of millions IOPS per node with less than 1 millisecond latency. This database will accelerate your application performance. Scylla, a drop-in Apache Cassandra and Amazon DynamoDB alternative, powers your applications with extreme throughput and ultra-low latency. To power modern, high-performance applications, we used the best features of high availability databases to create a NoSQL database that is significantly more efficient, fault-tolerant, and resource-efficient. This high-availability database is built from scratch in C++ for Linux. Scylla unleashes your infrastructure's true potential for running high-throughput/low-latency workloads.

The Open, Multi-Cloud Stack to Modern Data Apps. Built on Apache Cassandra™, an open-source Apache Cassandra™. Global scale and 100% uptime without vendor lock in You can deploy on multi-clouds, open-source, on-prem and Kubernetes. For a lower TCO, use elastic and pay-as you-go. Stargate APIs allow you to build faster with NoSQL, reactive, JSON and REST. Avoid the complexity of multiple OSS projects or APIs that don’t scale. It is ideal for commerce, mobile and AI/ML. Get building modern data applications with Astra, a database-as-a-service powered by Apache Cassandra™. Richly interactive apps that are viral-ready and elastic using REST, GraphQL and JSON. Pay-as you-go Apache Cassandra DBaaS which scales easily and affordably

SingleStore (formerly MemSQL), is a distributed, highly-scalable SQL Database that can be run anywhere. With familiar relational models, we deliver the best performance for both transactional and analytical workloads. SingleStore is a scalable SQL database which continuously ingests data to perform operational analysis for your business' front lines. ACID transactions allow you to simultaneously process millions of events per second and analyze billions of rows in relational SQL, JSON geospatial, full-text search, and other formats. SingleStore provides the best data ingestion performance and supports batch loading and real-time data pipelines. SingleStore allows you to query live and historical data with ANSI SQL in a lightning fast manner. You can perform ad-hoc analysis using business intelligence tools, run machine-learning algorithms for real time scoring, and geoanalytic queries in a real time.

FairCom DB is ideal to handle large-scale, mission critical core-business applications that demand performance, reliability, and scalability that cannot easily be achieved with other databases. FairCom DB provides predictable high-velocity transactions with big data analytics and massively parallel big-data processing. It provides developers with NoSQL APIs that allow them to process binary data at machine speed. ANSI SQL allows for simple queries and analysis over the same binary data. Verizon is one of the companies that has taken advantage of FairCom DB's flexibility. Verizon recently selected FairCom DB to be its in-memory database for the Verizon Intelligent Network Control Platform Transaction Server Migrating. FairCom DB, an advanced database engine, gives you a Continuum of Control that allows you to achieve unparalleled performance at a low total cost of ownership (TCO). FairCom DB doesn't conform to you. FairCom DB conforms. FairCom DB doesn't force you to conform to the database's limitations.

Amazon DocumentDB (with MongoDB compatibility), is a fast, scalable and highly available document database service that supports MongoDB workloads. Amazon DocumentDB is a document database that makes it easy to store, query and index JSON data. Amazon DocumentDB is a nonrelational database service that was designed from the ground up to provide the performance, scalability and availability you require when running mission-critical MongoDB workloads on a large scale. Amazon DocumentDB is decoupled from compute and storage, which allows each to scale independently. You can increase read capacity to millions of requests every second by adding up 15 low latency replicas in minutes, regardless how large your data is. Amazon DocumentDB is designed to guarantee 99.99% availability. It replicates six copies across three AWSAvailability Zones (AZs) of your data.

Google Cloud Bigtable provides a fully managed, scalable NoSQL data service that can handle large operational and analytical workloads. Cloud Bigtable is fast and performant. It's the storage engine that grows with your data, from your first gigabyte up to a petabyte-scale for low latency applications and high-throughput data analysis. Seamless scaling and replicating: You can start with one cluster node and scale up to hundreds of nodes to support peak demand. Replication adds high availability and workload isolation to live-serving apps. Integrated and simple: Fully managed service that easily integrates with big data tools such as Dataflow, Hadoop, and Dataproc. Development teams will find it easy to get started with the support for the open-source HBase API standard.

Objectivity/DB (or Object Database Management System) is a distributed, highly scalable, high-performance, and highly scalable Object Database (ODBMS). It excels at complex data handling, including many types of connections between objects as well as many variants. Objectivity/DB can also be used as a graph database that is highly scalable and high-performance. Its DO query language allows for standard data retrieval queries and high-performance path-based navigational inquiries. Objectivity/DB is a distributed data base that presents a single logical view of its managed data. Data can be hosted on one machine or distributed over up to 65,000 machines. Machines can be connected to one another. Objectivity/DB can be used on 32- or 64-bit processors that run Windows, Linux, and Mac OS X. APIs are C++, C# Java, Python, and Java. All platforms and languages are interoperable. A C++ program on Linux can store objects and a Java program on Mac OS X can read them.

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

This is the easiest way to transfer your data to another database. All popular databases are supported - on-premise, cloud, file-based, relational, and modern. Our software has been battle-tested and is highly optimized. Our Ultimate version can copy multiple tables simultaneously if you have large databases. You might consider creating your own scripts. This poses a serious risk of data errors or omissions. Developer time is costly - instead, use our expertise.

Now that your data has been in motion, it is time to make sense. Stream processing allows you to extract instant insights from your data streams but it can be difficult to set up the infrastructure. Confluent created ksqlDB to support stream processing applications. Continuously processing streams of data from your business will make your data actionable. The intuitive syntax of ksqlDB allows you to quickly access and augment Kafka data, allowing development teams to create innovative customer experiences and meet data-driven operational requirements. ksqlDB is a single solution that allows you to collect streams of data, enrich them and then serve queries on new derived streams or tables. This means that there is less infrastructure to manage, scale, secure, and deploy. You can now focus on the important things -- innovation -- with fewer moving parts in your data architecture.

In just a few moments, you can deploy a cluster that is ready to use. The DB settings will be optimized initially for the cluster size that you have selected. You can add more servers to your cluster or increase its capacity within minutes if the load increases. Redis stores data as key-value format. Values supported include strings, arrays dictionaries sets bitmasks and other types. Redis runs in RAM, making it ideal for tasks requiring a quick response time or involving a large number operations on a small amount of data. Backups of database content are encrypted with GPG. Data is protected in accordance with local regulatory requirements, GDPR and ISO industry standards. Set a timer for Yandex Managed Service to Redis so that it can automatically delete data. This will optimize your data storage cost.

Businesses struggle to find answers as data volumes increase faster than ever. Teradata Vantage™, solves this problem. Vantage uses 100 per cent of the data available to uncover real-time intelligence at scale. This is the new era in Pervasive Data Intelligence. All data across the organization is available in one place. You can access it whenever you need it using preferred languages and tools. Start small and scale up compute or storage to areas that have an impact on modern architecture. Vantage unifies analytics and data lakes in the cloud to enable business intelligence. Data is growing. Business intelligence is becoming more important. Four key issues that can lead to frustration when using existing data analysis platforms include: Lack of the right tools and supportive environment required to achieve quality results. Organizations don't allow or give proper access to the tools they need. It is difficult to prepare data.

MySQLTuner, a lightweight Perl script, is designed to help database administrators optimize the performance and configurations of MySQL and MariaDB databases. It analyzes key metrics, parameters, and security related to system performance and resource usage and provides actionable recommendations. MySQLTuner identifies bottlenecks by analyzing the current workload and examining cache efficiency, query speed, and memory usage. It then suggests changes to configuration files. It is especially useful for ongoing maintenance as it highlights issues like inefficient indexes or excessive temporary tables. MySQLTuner helps database administrators maintain a healthy database environment, optimize performance, and reduce system overhead.

Nucleon Database Master is an intuitive, modern, powerful and simple to use database administration, management, and query software. It has a consistent and modern interface. Database Master makes it easy to manage, monitor, query, edit, visualize, design relational and NoSQL DBMSMS. Database Master lets you execute extended SQL, JQL, and C# (Linq), query scripts. It also provides all database objects, such as tables, views and procedures, columns, indexes and relationships (constraints), collection, triggers, and other objects.

PartiQL's SQL extensions are easy to comprehend, treat nested information as first-class citizens and compose seamlessly between each other and SQL. This allows for intuitive filtering and joining of structured, semistructured, and nested data sets. PartiQL allows unified query access to multiple data stores and formats. It does this by separating the semantics and syntax of a query and the underlying data format. It allows users to interact with data using or without a regular schema. The Apache License, Version 2.0, covers PartiQL syntax and semantics, as well as the embeddable reference, CLI, tests, test framework and tests. This allows you to freely copy, distribute and use your changes.

Free to create, manage, query, and explore Valentina DB and SQLite databases. You can create business reports in Valentina Studio Pro, Valentina Server, or in an application using an Application Developer Kit. Standard backward engineering with forwarding engineering in Valentina Studio Pro Create diagrams from existing databases and reverse engineering. Add new objects to diagrams. SQL queries can be written with color syntax and auto-completion. Define, manage, save favorite queries; access recent queries. Each function has a function browser dictionary. Consoles for errors and warnings. Search, Export result records to CSV, JSON or Excel. Edit multiple properties at once. You can drill down to fields and tables; it is a fast way to search. Create diagrams from existing databases by reverse engineering. Diagrams can be updated with new objects. Manage privileges and users by adding and dropping users and groups.

The interface of your database. You can view, update and visualize your data in a collaborative way without having to be a database specialist. No team should be able to have all the power. You can create queries, columns, rows and tables without having to write SQL. Edit your data inline and collaboratively, just like you would with a spreadsheet. You can now organize your SQL queries and snippets. Share your queries so that the rest of your team doesn't have to reinvent the wheel. The easiest way to query data without having to write a single line in SQL. Outerbase connects with the most popular databases. Select your schemas quickly, including tables, columns and more. Reduce context switching and do it all with our intuitive user interface. Simple experiences for complex data such as JSON, timestamps and ENUMs. Use variables to create powerful, flexible queries. Create stunning dashboards with just a few clicks.

DatabaseSpy SQL editor offers customizable SQL auto-completion to speed up SQL query development. Execute queries in one or more windows. You can see immediate results in any of these windows. DatabaseSpy supports asynchronous execution. This allows multiple SQL queries to be executed in different windows simultaneously. DatabaseSpy supports SQL templates, which are SQL queries that include parameters. Parameters can make queries more flexible, such as allowing users to test complex join statements that have multiple values. The result windows and DatabaseSpy SQL Editor at the top left show a query that reports all orders for a product by a particular customer.