Alternatives to YDB

StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment. StarTree Cloud includes StarTree Data Manager, which allows you to ingest data from both real-time sources such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda, as well as batch data sources such as data warehouses like Snowflake, Delta Lake or Google BigQuery, or object stores like Amazon S3, Apache Flink, Apache Hadoop, or Apache Spark. StarTree ThirdEye is an add-on anomaly detection system running on top of StarTree Cloud that observes your business-critical metrics, alerting you and allowing you to perform root-cause analysis — all in real-time.

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.

Serverless computing is perfect for systems with unpredictable load. Storage scaling, query execution and backup layers are all fully automated. The compatibility of AWS SDKs in serverless mode allows for Java, JavaScript Node.js.NET PHP Python Ruby. YDB is hosted across three availability zones to ensure availability, even if a zone or node goes offline. The system will automatically recover and continue working if equipment or data centers fail. YDB can handle hundreds of thousands transactions per second and has low latency. The system was designed for hundreds of petabytes.

Spend your time developing applications, not maintaining infrastructure. Managed Service for Apache Kafka manages Zookeeper brokers, clusters and updates their versions. Distribute cluster brokers over different availability zones, and set the replication factors to ensure fault tolerance. The service will analyze the metrics and status and replace the cluster if any node fails. You can adjust the number of messages, log cleanup policy and compression type for each topic to optimize computing, network and disk resources. You can add brokers with a single click to your cluster to improve performance or change the class for high-availability servers without stopping them and losing any data.

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.

PipelineDB is a PostgreSQL extension that allows high-performance time series aggregation. It's designed to power real-time reporting and analytics. PipelineDB allows the creation of continuous SQL queries that continuously aggregate time-series data, and store only the aggregate output into regular, queryable tables. This concept can be described as highly-accurate, incrementally updated materialized views that do not need to be manually refreshed. PipelineDB is extremely efficient in aggregation workloads because raw time-series data are never written to disk. Continuous queries can be linked together to create arbitrary networks of continuous SQL by creating their own output streams.

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.

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is five times faster that standard MySQL databases and three time faster than standard PostgreSQL database. It offers the same security, availability, reliability, and cost-effectiveness as commercial databases, but at a fraction of the cost. Amazon Aurora is fully managed and maintained by Amazon Relational Database Service, (RDS). This automates tedious administration tasks such as hardware provisioning, database setup, patching and backups. Amazon Aurora is a distributed, fault-tolerant and self-healing storage that auto-scales up 64TB per database instance. It offers high availability and performance with up to 15 low latency read replicas, point in time recovery, continuous backup to Amazon S3, replication across threeAvailability Zones, and continuous backup to Amazon S3.

Oracle Coherence, the industry's leading in-memory grid solution, enables organizations to scale mission-critical applications quickly by providing quick access to frequently used data. Data volumes and customer expectations are increasing due to the "internet-of-things", mobile, cloud, social, and cloud. This means that organizations need to be able handle more data in real time, offload redundant shared data services, and ensure availability. The 14.1.1 release of Oracle Coherence adds a patented scalable message implementation, support for polyglot grid side programming on GraalVM and distributed tracing in grid. Coherence stores each piece in multiple members (one primary, one or more backup copies), so that any mutating operation is not considered complete until the backup(s). This ensures that your data grid is resilient to failure at all levels, from a single JVM to a whole data center.

The Apache Cassandra database provides high availability and scalability without compromising performance. It is the ideal platform for mission-critical data because it offers linear scalability and demonstrated fault-tolerance with commodity hardware and cloud infrastructure. Cassandra's ability to replicate across multiple datacenters is first-in-class. This provides lower latency for your users, and the peace-of-mind that you can withstand regional outages.

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.

You can design, develop, debug, and deliver serverless faster. DynamoDB's most powerful collection of tools, including a single-table aware data browser, a designer, provisioning planner and migration manager, as well as metrics. Manage tables that understand your single-table design. The single-table designer allows you to manage schemas and entities. Real historical data is used to determine the best method of provisioning. The migration manager allows you to upgrade and downgrade data. You can see how DynamoDB tables perform with detailed metrics at the table, account and single-table entity level. Automated error detection for database, application and service events. Alerts and alarms can be set up for log events, metrics, events, and DynamoDB performance. Smart notification dampening will not cause you to be overwhelmed by alerts. You can select monitored resources using tags, regular expressions, or a list.

Monitor your database performance cost-effectively and agentless. Monitor in real time for corrective actions and issues resolution All changes to MariaDB or MySQL configuration files can be tracked and compared Monitor, alert, kill, or terminate long-running SQL queries in real time Monitor Amazon RDS or MariaDB, Amazon Aurora, including log files and OS. Based on execution time, find the top 10 queries from MySQL/MariaDB servers Monitor Amazon RDS and Azure Database, Google Cloud SQL, Oracle Cloud Service, and Amazon RDS.

ClickHouse is an open-source OLAP database management software that is fast and easy to use. It is column-oriented, and can generate real-time analytical reports by using SQL queries. ClickHouse's performance is superior to comparable column-oriented database management software currently on the market. It processes hundreds of millions of rows to more than a million and tens if not thousands of gigabytes per second. ClickHouse makes use of all hardware available to process every query as quickly as possible. Peak processing speed for a single query is more than 2 Terabytes per Second (after decompression, only utilized columns). To reduce latency, reads in distributed setups are automatically balanced between healthy replicas. ClickHouse supports multimaster asynchronous replication, and can be deployed across multiple datacenters. Each node is equal, which prevents single points of failure.

Ensure lightning fast transactions to reduce customer churn, no matter where they are. Create web applications that have minimal latency to provide users with instant updates and interactions. Managed sharding for isolation, noise reduction, and geographical data residency requirements. Deliver API services with ultra-low latency worldwide using strategically distributed data centres for minimal response time. Connect to your global data with a single endpoint. Connections are routed towards the closest replica. With Fortress, you can easily import and scale your existing Postgres databases. Let our proxy handle the application for you, to meet your performance requirements and geographical data residency. Fortress is used by developers to reduce network latency and comply with data sovereignty regulations.

In-Memory Computing Platform. Digital world is different. Microseconds are important. The world's most important organizations rely on us for powering their most sensitive applications at scale. If they meet the current requirement for immediate access, new data-enabled apps can transform your business. Hazelcast solutions can be used to complement any database and deliver results that are much faster than traditional systems of record. Hazelcast's distributed architecture ensures redundancy and continuous cluster up-time, as well as always available data to support the most demanding applications. The capacity grows with demand without compromising performance and availability. The cloud delivers the fastest in-memory data grid and third-generation high speed event processing.

The Leading Distributed SQL Database with High Performance. Open source, cloud native relational DB that powers global, internet-scale applications. Single-Digit Millisecond latency Create lightning fast cloud applications by serving queries directly to the DB. Massive Scale You can achieve millions of transactions per second and store multiple TTB's of data per Node. Geo-Distribution You can deploy across regions and clouds using synchronous or multimaster replication. Cloud Native Architectures. YugabyteDB makes it easy to develop, deploy, and operate modern applications faster than ever. Develop developer agility. Leverage full power of PostgreSQL-compatible SQL and distributed ACID transactions. Operate resilient services. Ensure continuous availability, even when the underlying storage, compute, or network fails. Scale On-Demand. You can add or remove nodes as you wish. Over-provisioned clusters are not a good idea. Lower User Latency.

BigchainDB is a database that has blockchain characteristics. It offers high throughput, low latency and powerful query functionality. BigchainDB allows developers, enterprises, and other organizations to create and deploy blockchain proof of concepts, platforms, and applications using a blockchain database. It supports a wide variety of industries and use cases. BigchainDB is not about enhancing blockchain technology. Instead, it starts with a distributed big data database and then adds blockchain characteristics, such as decentralized control, immutability, and the transfer digital assets. There is no single point of failure. There is no single point of failure. A federation voting nodes provides decentralized control that makes it possible to create a P2P network. To search all stored transactions, metadata, and blocks, you can write and run any MongoDB query. MongoDB powers this feature.

High-speed, data-intensive apps that meet all performance requirements can be built. Apache Geode's unique technology combines advanced techniques for data replication and partitioning with distributed processing. Apache Geode offers a database-like consistency model, reliable transactions processing, and a shared nothing architecture to maintain very low latency with high concurrency. Data can be easily partitioned (sharded), or replicated among nodes, allowing for performance scaling as required. Reliable in-memory copies are used to ensure durability. Disk-based persistence is also used to ensure longevity. Super fast write-ahead log (WAL) persistence that uses a shared-nothing architecture optimized for parallel recovery of nodes and entire clusters.

SlashDB automatically generates a XML, JSON, and CSV REST APIs from relational databases. It also allows users to browse through data using HTML. This allows them to find available tables, databases, queries, and API endpoints. SlashDB can provide a central access point for multiple databases. This effectively forms an all-encompassing resource-oriented architectural (ROA), which serves as an API gateway to the data. SlashDB creates a web service shell to access each of your databases by translating relational database structures into a logic library of uniform resource locators. Every piece of data, regardless of its type (scalar value or nested structure), has its own unique identifying URL.

Oracle database products offer customers cost-optimized, high-performance versions Oracle Database, the world's most popular converged, multi-model database management software. They also include in-memory NoSQL and MySQL databases. Oracle Autonomous Database is available on-premises via Oracle Cloud@Customer and in the Oracle Cloud Infrastructure. It allows customers to simplify relational databases environments and reduce management burdens. Oracle Autonomous Database reduces the complexity of operating and protecting Oracle Database, while delivering the highest levels performance, scalability and availability to customers. Oracle Database can also be deployed on-premises if customers have network latency and data residency concerns. Customers who depend on Oracle database versions for their applications have full control over which versions they use and when they change.

HanDBase, a lightweight and fast relational database manager designed for mobile devices, offers data entry, searching and sorting as well as filtering, printing, and synchronization across many different devices, including smartphones, tablets, handheld computing devices, and desktop computers. HanDBase allows you to keep track of almost everything. HanDBase allows you to create your own data-based applications in minutes. This will allow you to track any important information that is relevant to your productivity while on the move. HanDBase can be used on many different operating systems and devices. Cross-platform technology allows you to seamlessly share your database files and records with different types devices. For some versions, Forms Designer is available. You can create completely customized interfaces for your records. Multi-user Syncing technology combines data from multiple users into one database/table.

Azure Managed Instances for Apache Cassandra allows you to run mission-critical workloads cost-effectively at scale. Multiple resource and data replicating options make it easy to manage changing demands. Scalability with zero downtime is essential for hybrid and cloud deployments. Cassandra's familiar tools and languages will help you develop applications faster. You can free yourself from infrastructure management, without compromising on security. Managed, secure services streamline operations by automating repairs, patches and updates. Automatic backups and disaster-recovery will make your database more resilient and durable. Turnkey scaling services, hybrid deployments and other options will allow you to retain flexibility and control over your hardware configuration. A pricing model that is based on instances allows you to specify the number of CPUs, virtual machine SKUs, and memory/disk needs.

Fauna is a data API that supports rich clients with serverless backends. It provides a web-native interface that supports GraphQL, custom business logic, frictionless integration to the serverless ecosystem, and a multi-cloud architecture that you can trust and grow with.

Riak is a distributed systems expert and works with Application teams to overcome distributed system challenges. Riak's Riak®, a distributed NoSQL databank, delivers: Unmatched resilience beyond the typical "high availability" offerings - Innovative technology to ensure data accuracy, and never lose a word. - Massive scale for commodity hardware - A common code foundation that supports true multi-model support Riak®, offers all of this while still focusing on ease-of-use. Choose Riak®, KV flexible key value data model for web scale profile management, session management, real time big data, catalog content management, customer 360, digital message and other use cases. Choose Riak®, TS for IoT, time series and other use cases.

Oracle SQL Developer is an integrated development environment that makes it easy to develop and manage Oracle Databases in traditional and cloud deployments. SQL Developer provides complete end-to–end development for your PL/SQL apps, a worksheet to run queries and scripts and a DBA console to manage the database. It also offers a data modeling solution and a migration platform to move your 3rd-party databases to Oracle. You can run your sql and sqlscripts, manage users and create and edit objects. You can also import data to new and existing tables, diagnose performance issues, visualize schemas, and more. You can now access the power of your favorite desktop program from your browser. Access Oracle REST Data Service for your on-premises instances. Migration of Oracle On-Premises to Oracle Cloud Click, browse, or manage the contents of your Oracle Database.

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.

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.

Without affecting user productivity or availability, implement structural change and database reorganizations. Information technology systems are required to meet the demands of the new global market. It's the most important business hour anywhere in the world at any time of the day. The Internet and electronic commerce make it possible to order goods or services at any hour. International companies with geographically dispersed employees cannot lock out their users using traditional database reorganization methods. This can lead to data retrieval taking a lot of CPU, I/O, and elapsed times. This can result in lost productivity and time. Customers lose customers and revenue drops. Data must be reorganized to reduce these costs. Bradmark's DBControl allows you to reorganize your database tables and their objects while you are processing transactions against it.

Focus on application innovation and not database management with a fully-managed and intelligent Azure Database PostgreSQL. Scale up your workload with confidence and ease. Enjoy high availability thanks to a service level agreement (SLA) that guarantees up to 99.99% uptime, AI-powered performance suggestions, and built-in enterprise safety. With a fully-managed PostgreSQL as a service, you can focus on application innovation. The zone-redundant, high availability automates updates, patches, and maintenance. You can provision in minutes, and you can independently scale compute or store. Reduce costs with database monitoring and optimization tools. Intelligent performance recommendations can help you achieve peak performance. Migrate easily using a PostgreSQL fully managed database that supports the latest versions. Build with your favorite PostgreSQL Extensions such as Cron PostGIS PLV8 etc.

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

PolarDB-X was tested at the Tmall Double 11 shopping festival. It has helped customers in a variety of industries, including finance, logistics, energy and public service, to address business problems. Linearly increases storage space to provide petabyte scale storage. This eliminates storage bottlenecks in standalone databases. Massively parallel processing (MPP), which allows for complex analysis and queries on large amounts of data to be significantly improved. It provides extensive algorithms to distribute data across multiple storage devices, effectively reducing the amount of data stored in one table.

SQL Safe Backup allows database administrators to instantly back up and recover across Microsoft SQL Servers. It is unlike its competitors, providing virtual databases with instant restore, centralized management across Microsoft SQL Servers and alert notifications for success or failure of operations.

Greenplum Database®, an open-source data warehouse, is a fully featured, advanced, and fully functional data warehouse. It offers powerful and fast analytics on petabyte-scale data volumes. Greenplum Database is uniquely designed for big data analytics. It is powered by the most advanced cost-based query optimizer in the world, delivering high analytical query performance with large data volumes. The Apache 2 license is used to release Greenplum Database®. We would like to thank all of our community contributors. We are also open to new contributions. We encourage all contributions to the Greenplum Database community, no matter how small. Open-source, massively parallel data platform for machine learning, analytics, and AI. Rapidly create and deploy models to support complex applications in cybersecurity, predictive management, risk management, fraud detection, among other areas. The fully integrated, open-source analytics platform is now available.

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.

MigrateEmails SQL Database Recovery Tool is an excellent software for recovering and restoring damaged SQL database files. This tool has multiple file recovery mods to help users fix severely corrupted MDF or NDF files. This advanced software can also recover database objects such as Tables, rows and rules, functions, queries and indexes. The SQL Database Recovery Tool allows users to save recovered data either as a script or on a Live Server. The demo version can only preview recovered SQL database files, not save them. Its interactive interface is easy to use for both technical and nontechnical users. The SQL database repair tool works on all Windows OS.

LanceDB is an open-source database for AI that is developer-friendly. LanceDB provides the best foundation for AI applications. From hyperscalable vector searches and advanced retrieval of RAG data to streaming training datasets and interactive explorations of large AI datasets. Installs in seconds, and integrates seamlessly with your existing data and AI tools. LanceDB is an embedded database with native object storage integration (think SQLite, DuckDB), which can be deployed anywhere. It scales down to zero when it's not being used. LanceDB is a powerful tool for rapid prototyping and hyper-scale production. It delivers lightning-fast performance in search, analytics, training, and multimodal AI data. Leading AI companies have indexed petabytes and billions of vectors, as well as text, images, videos, and other data, at a fraction the cost of traditional vector databases. More than just embedding. Filter, select and stream training data straight from object storage in order to keep GPU utilization at a high level.

Database Management Solutions for IMS™, z/OS® will speed up data retrieval, create and rebuild indexes quickly, implement secondary indexes using Fast Path databases, reduce backup and recovery times and increase data availability. You'll also be able to recover data in a short time with consistent, secure data. Reduce the stress of maintaining and managing IMS structures, and increase productivity. Make backups, create recovery procedures, and carry out disaster recovery. To ensure that IMS structures work optimally, use sophisticated analysis. Our IMS Database Management Solutions can optimize and automate your database performance to reduce backup and recovery times, better CPU usage, faster data retrieval and recovery, and better data availability.

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.

Tibero has implemented a unique Tibero Thread Architecture to address the disadvantages of previous DBMSs. As a result, Tibero can make efficient use of system resources, such as CPU and memory, with fewer server processes. This ensures that Tibero offers high performance, reliability, and scalability, while facilitating efficient development and administration functions. Additionally, it provides users and developers with various standard development interfaces for easy integration with other DBMSs and 3rd party tools. In addition, Tibero adopts the block transfer technology to improve TAC, the shared database clustering which is similar to Oracle RAC. Through the enhanced function, Tibero supports performance optimization with self-tuning, reliable database monitoring, and performance management.

*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.

We work hard to ensure that every tool we make is "Best of Class" in its respective category. We are proud of our product support, which is often praised as the best in the industry. We are always innovating and releasing new features and tools on a rapid schedule. Auditing and masking capabilities to protect sensitive data, detect and manage SQL Server instances, and perform security and health checks. You can achieve dramatic reductions in SQL Server backup/restore time and storage costs. With eight compression levels, you can choose the optimal combination of CPU utilization and backup storage space reduction for your environment. Capture transactions during backups and replay them to ensure that no structure or data changes are lost. Rollback the truncate operation to recover lost data

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.

Easy deployment of a high-availability solution for disaster recovery, failover within and between cloud regions with zero downtime during maintenance. Multiple master databases distributed across multiple locations can improve performance and availability. Keep local data local, and control which tables will be globally replicated and which will remain local. Support higher throughput if workloads threaten to exceed the available compute capacity. pgEdge platform is available on-premises, or through self-managed cloud provider accounts. Supports a wide range of OS and hardware combinations. Enterprise-class support available. Edge Platform nodes that are self-hosted can be used as part of a Postgres cluster in pgEdge cloud.

Amazon SimpleDB is a high-availability NoSQL data store that offloads database administration. Developers can simply store and query data items using web services requests, and Amazon SimpleDB takes care of the rest. Amazon SimpleDB is not bound by the requirements of a relational data base. It is optimized to provide high availability, flexibility and minimal administrative burden. Amazon SimpleDB automatically creates and manages multiple copies of your data in different locations to ensure high availability and data durability. You only pay for the actual resources used to store your data and serve your requests. You can modify your data model at any time, and data is automatically index for you. Amazon SimpleDB allows you to focus on application development and not worry about infrastructure provisioning, high availability or software maintenance.

SQL Compliance Manager allows database administrators to monitor, audit and alert on SQL Server user activity, as well as data changes. It is faster than its competitors and offers quick configuration of audit settings, a wide list of regulatory guideline templates and reports, before-and after data values for both regulatory and forensic data investigations, differentiating data access between regular users and privileged applications, easy specification and reporting on sensitive column access and changes, as well as extensive customization of audit settings for servers and databases.

ProxySQL has an advanced multi-core architectural design that supports hundreds of thousands concurrent connections multiplexed across thousands of servers. ProxySQL allows sharding based on user, schema, or table using the advanced query engine or customized plugins. ProxySQL can change SQL statements on-the-fly, so the development team doesn't have to rewrite queries from ORMs or packaged packages. ProxySQL has been tested in the field. The numbers show that performance is the top priority. ProxySQL, an open-source database protocol aware proxy, is a high performance, high-availability, high-performance proxy for MySQL and PostgreSQL. ProxySQL, a robust SQL proxy that acts as a bridge between database servers and clients, offers a variety of features to streamline database operations. ProxySQL enables organizations to maximize the potential of their database infrastructure.

IT environments are not like disasters. Businesses need a single, cross-platform solution to protect a mixed environment. ShadowProtect®, backup and disaster recovery software, ensures that data and business systems are always protected. ShadowProtect can help you meet or exceed your recovery time and recovery points objectives (RTOs, RPOs). In minutes, recover files and folders. Restore crashed servers. VirtualBoot technology allows you to instantly boot from a backup image into virtual machines. ShadowProtect image backups provide multiple options for recovery. Grab a file, restore an entire volume of data, or restore a server's system to a physical or virtual machine without any headaches (P2P/V, V2P/V2V, P2V, and V2V). ShadowProtect provides automatic verification of backup images to make sure they work in the event of a disaster.

Alibaba Cloud offers DBStack, an all-in-one database management system. This platform covers all online transaction processing (OLTP), online analysis processing (OLAP), NoSQL database services, and comprehensive database ecosystem services. DBStack provides reliable, secure and cost-effective database solutions that meet enterprises' needs for data production, integration, real-time processing, data analysis, discovery, and management. All cloud native management capabilities of Alibaba Cloud, including high availability and scalability, performance optimization and manageability, cost-effectiveness and security compliance, are integrated to provide a minimum recovery point objective of zero and a recovery period objective (RTO), of less than one second.

Hue provides the best querying experience by combining the most intelligent autocomplete components and query editor. The tables and storage browses use your existing data catalog in a transparent way. Help users find the right data among thousands databases and document it themselves. Help users with their SQL queries, and use rich previews of links. Share directly from the editor in Slack. There are several apps, each specialized in one type of querying. Browsers are the first place to explore data sources. The editor excels at SQL queries. It has an intelligent autocomplete and risk alerts. Self-service troubleshooting is also available. Dashboards are primarily used to visualize indexed data, but they can also query SQL databases. The results of a search for specific cell values are highlighted. Hue has one of the most powerful SQL autocompletes on the planet to make your SQL editing experience as easy as possible.