Oracle TimesTen Alternatives

Raima Database Manager is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS . Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments.

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, 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. • Gain critical real-time insights to run your business • Seamlessly integrate data streaming and batch data • High performance in throughput and low-latency at petabyte scale • Fully-managed cloud service • Tiered storage to optimize cloud performance & spend • Fully-secure & enterprise-ready

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. Easily provision, monitor, backup and scale your open source databases with high availability, advanced security, full superuser and SSH access, query analysis, and troubleshooting support to improve the performance of your deployments. Supported databases include: - MySQL - PostgreSQL - Redis™ - MongoDB® database - Greenplum™ (coming soon) The ScaleGrid platform supports both public and private clouds, including AWS, Azure, Google Cloud Platform (GCP), DigitalOcean, Linode, Oracle Cloud Infrastructure (OCI), VMware and OpenStack. Used by thousands of developers, startups, and enterprise customers including Atlassian, Meteor, and Accenture, ScaleGrid handles all your database operations at any scale so you can focus on your application performance.

SAP HANA Cloud is a fully managed in-memory cloud database as a service (DBaaS). As the cloud-based data foundation for SAP Business Technology Platform, it integrates data from across the enterprise, enabling faster decisions based on live data. Build data solutions with modern architectures and gain business-ready insights in real-time. As the data foundation for SAP Business Technology Platform, the SAP HANA Cloud database offers the power of SAP HANA in the cloud. Scale to your needs, process business data of all types, and perform advanced analytics on live transactions without tuning for fast, improved decision-making. Connect to distributed data with native integration, develop applications and tools across clouds and on-premise, and store volatile data. Tap business-ready information by creating one source of truth and enable security, privacy, and anonymization with enterprise reliability.

Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multi-region, Multimaster, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second. Many of the world's fastest-growing businesses such as Lyft, Airbnb, and Redfin as well as enterprises such as Samsung, Toyota, and Capital One depend on the scale and performance of DynamoDB to support their mission-critical workloads. Focus on driving innovation with no operational overhead. Build out your game platform with player data, session history, and leaderboards for millions of concurrent users. Use design patterns for deploying shopping carts, workflow engines, inventory tracking, and customer profiles. DynamoDB supports high-traffic, extreme-scaled events.

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. It frees you to focus on your applications so you can give them the fast performance, high availability, security and compatibility they need. Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides you with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. You can use the AWS Database Migration Service to easily migrate or replicate your existing databases to Amazon RDS.

Amazon ElastiCache allows you to seamlessly set up, run, and scale popular open-Source compatible in-memory data stores in the cloud. Build data-intensive apps or boost the performance of your existing databases by retrieving data from high throughput and low latency in-memory data stores. Amazon ElastiCache is a popular choice for real-time use cases like Caching, Session Stores, Gaming, Geospatial Services, Real-Time Analytics, and Queuing. Amazon ElastiCache offers fully managed Redis and Memcached for your most demanding applications that require sub-millisecond response times. Amazon ElastiCache works as an in-memory data store and cache to support the most demanding applications requiring sub-millisecond response times. By utilizing an end-to-end optimized stack running on customer-dedicated nodes, Amazon ElastiCache provides secure, blazing-fast performance.

Build high-speed, data-intensive applications that elastically meet performance requirements at any scale. Take advantage of Apache Geode's unique technology that blends advanced techniques for data replication, partitioning and distributed processing. Apache Geode provides a database-like consistency model, reliable transaction processing and a shared-nothing architecture to maintain very low latency performance with high concurrency processing. Data can easily be partitioned (sharded) or replicated between nodes allowing performance to scale as needed. Durability is ensured through redundant in-memory copies and disk-based persistence. Super fast write-ahead-logging (WAL) persistence with a shared-nothing architecture that is optimized for fast parallel recovery of nodes or an entire cluster.

A cloud-native distributed HTAP database built for elastic scaling and real-time analytics in a fully managed service, with its serverless tier enabling your launching of the HTAP database in seconds. Elastically and transparently scale to hundreds of nodes for critical workloads without changing business logic. Use what you know about SQL, and maintain your relational model and global ACID transactions while coping with your hybrid workloads at ease. Equipped with a built-in high-performance analytics engine to analyze operational data without using an ETL. Scale-out to hundreds of nodes while maintaining ACID transactions. No need to bother with sharding or facing downtime. Ensure data accuracy at scale, even for simultaneous updates to the same data source. Increase productivity and shorten time-to-market for your applications with TiDB’s MySQL compatibility. Easily migrate data from existing MySQL instances without the need to rewrite code.

Oracle database products offer customers cost-optimized and high-performance versions of Oracle Database, the world's leading converged, multi-model database management system, as well as in-memory, NoSQL, and MySQL databases. Oracle Autonomous Database, available on-premises via Oracle Cloud@Customer or in the Oracle Cloud Infrastructure, enables customers to simplify relational database environments and reduce management workloads. Oracle Autonomous Database eliminates the complexity of operating and securing Oracle Database while giving customers the highest levels of performance, scalability, and availability. Oracle Database can be deployed on-premises when customers have data residency and network latency concerns. Customers with applications that are dependent on specific Oracle database versions have complete control over the versions they run and when those versions change.

HeatWave is a massively parallel, high performance, in-memory query accelerator for Oracle MySQL Database Service that accelerates MySQL performance by orders of magnitude for analytics and mixed workloads. HeatWave is 6.5X faster than Amazon Redshift at half the cost, 7X faster than Snowflake at one-fifth the cost, and 1400X faster than Amazon Aurora at half the cost. MySQL Database Service with HeatWave is the only service that enables customers to run OLTP and OLAP workloads directly from their MySQL database. This eliminates the need for complex, time-consuming, and expensive data movement and integration with a separate analytics database. The new MySQL Autopilot uses advanced machine-learning techniques to automate HeatWave, which make it easier to use and further improves performance and scalability. HeatWave is optimized for Oracle Cloud Infrastructure (OCI).

Use Ignite as a traditional SQL database by leveraging JDBC drivers, ODBC drivers, or the native SQL APIs that are available for Java, C#, C++, Python, and other programming languages. Seamlessly join, group, aggregate, and order your distributed in-memory and on-disk data. Accelerate your existing applications by 100x using Ignite as an in-memory cache or in-memory data grid that is deployed over one or more external databases. Think of a cache that you can query with SQL, transact, and compute on. Build modern applications that support transactional and analytical workloads by using Ignite as a database that scales beyond the available memory capacity. Ignite allocates memory for your hot data and goes to disk whenever applications query cold records. Execute kilobyte-size custom code over petabytes of data. Turn your Ignite database into a distributed supercomputer for low-latency calculations, complex analytics, and machine learning.

In-Memory Computing Platform. The digital world is different. Microseconds matter. That's why the world's largest organizations rely on us to power their most time-sensitive applications at scale. New data-enabled applications can deliver transformative business power – if they meet today’s requirement of immediacy. Hazelcast solutions complement virtually any database to deliver results that are significantly faster than a traditional system of record. Hazelcast’s distributed architecture provides redundancy for continuous cluster up-time and always available data to serve the most demanding applications. Capacity grows elastically with demand, without compromising performance or availability. The fastest in-memory data grid, combined with third-generation high-speed event processing, delivered through the cloud.

An open-source, cloud-native, distributed SQL database for elastic scale and real-time analytics. Supported by a wealth of open-source data migration tools in the ecosystem, TiDB gives you the freedom to choose your own vendor and avoid lock-in. Purposely built to deliver SQL at scale, TiDB eliminates the scaling problems of traditional relational databases without intrusion to your application. HTAP database platform that enables real-time situation awareness and decision making on live transactional data and eliminates friction between IT and business goals. TiDB is ACID-compliant and strongly consistent. You can use TiDB as a scale-out MySQL database with familiar SQL syntaxes and ecosystem tools. TiDB automatically shards your data so you don’t have to do it manually. You can simply add new nodes to scale horizontally and elastically to meet your business growth. TiDB simplifies the ETL process and automatically recovers from errors.

CockroachDB: Cloud-native, distributed SQL. Your cloud applications deserve a cloud-native database. Cloud-based apps and services deserve a database that scales across clouds, eases operational complexity, and improves reliability. CockroachDB delivers resilient, distributed SQL with ACID transactions and data partitioned by location. Automate operations for mission-critical applications by pairing CockroachDB with orchestration tools like Kubernetes and Mesosphere DC/OS. Every node can service both reads and writes so that you can scale query throughput and database capacity by simply adding more endpoints. Just add new nodes to CockroachDB, and it automatically rebalances data, completely removing the pain of manual sharding. As demand shifts, CockroachDB detects hotspots and intelligently distributes data to maintain performance. Tune your database at the row level so that data lives close to your users and you can minimize query latency.

SAP HANA in-memory database is for transactional and analytical workloads with any data type — on a single data copy. It breaks down the transactional and analytical silos in organizations, for quick decision-making, on premise and in the cloud. Innovate without boundaries on a database management system, where you can develop intelligent and live solutions for quick decision-making on a single data copy. And with advanced analytics, you can support next-generation transactional processing. Build data solutions with cloud-native scalability, speed, and performance. With the SAP HANA Cloud database, you can gain trusted, business-ready information from a single solution, while enabling security, privacy, and anonymization with proven enterprise reliability. An intelligent enterprise runs on insight from data – and more than ever, this insight must be delivered in real time.

Proactively manage all major DBMSs (SQL Server, Azure SQL Database, Oracle Database, Sybase ASE and IQ, Db2 LUW and z/OS, Redshift, MySQL, PostgreSQL, and Greenplum) from a single common interface. Reduce training requirements and streamline collaboration among different teams across the organization. Manage multiple Oracle-specific schema object types and SQL Server advanced object properties such as temporal tables, in-memory tables, and natively compiled triggers, procedures and functions. Comprehensive tools help you manage space, data and performance to keep your databases optimized and available. Manage the performance of your databases with a built-in process monitor that helps you understand who is connected to your database along with each user's current activity and session-related data. Sophisticated diagnostics help you pinpoint performance inefficiencies that result in poor space management, tracking key database metadata and performance metrics over time.

SingleStore (formerly MemSQL) is a distributed, highly-scalable SQL database that can run anywhere. We deliver maximum performance for transactional and analytical workloads with familiar relational models. SingleStore is a scalable SQL database that ingests data continuously to perform operational analytics for the front lines of your business. Ingest millions of events per second with ACID transactions while simultaneously analyzing billions of rows of data in relational SQL, JSON, geospatial, and full-text search formats. SingleStore delivers ultimate data ingestion performance at scale and supports built in batch loading and real time data pipelines. SingleStore lets you achieve ultra fast query response across both live and historical data using familiar ANSI SQL. Perform ad hoc analysis with business intelligence tools, run machine learning algorithms for real-time scoring, perform geoanalytic queries in real time.

The enterprise-grade platform built on Apache Ignite that provides in-memory speed and massive scalability for data-intensive applications and real-time data access across datastores and applications. Upgrade from Ignite to GridGain with no code changes and deploy your clusters securely at global scale with zero downtime. Perform rolling upgrades of your production clusters with no impact on application availability. Replicate across globally distributed data centers to load balance workloads and prevent downtime from regional outages. Secure your data at rest and in motion, and ensure compliance with security and privacy standards. Easily integrate with your organization's authentication and authorization system. Enable full data and user activity auditing. Create automated schedules for full and incremental backups. Restore your cluster to the last stable state with snapshots and point-in-time recovery.

Oracle Coherence is the industry leading in-memory data grid solution that enables organizations to predictably scale mission-critical applications by providing fast access to frequently used data. As data volumes and customer expectations increase, driven by the “internet of things”, social, mobile, cloud and always-connected devices, so does the need to handle more data in real-time, offload over-burdened shared data services and provide availability guarantees. The latest release of Oracle Coherence, 14.1.1, adds a patented scalable messaging implementation, support for polyglot grid-side programming on GraalVM, distributed tracing in the grid, and certification on JDK 11. Coherence stores each piece of data within multiple members (one primary and one or more backup copies), and doesn't consider any mutating operation complete until the backup(s) are successfully created. This ensures that your data grid can tolerate the failure at any level: from single JVM, to whole data center.

Redis Labs: home of Redis. Redis Enterprise is the best version of Redis. Go beyond cache; try Redis Enterprise free in the cloud using NoSQL & data caching with the world’s fastest in-memory database. Run Redis at scale, enterprise grade resiliency, massive scalability, ease of management, and operational simplicity. DevOps love Redis in the Cloud. Developers can access enhanced data structures, a variety of modules, and rapid innovation with faster time to market. CIOs love the confidence of working with 99.999% uptime best in class security and expert support from the creators of Redis. Implement relational databases, active-active, geo-distribution, built in conflict distribution for simple and complex data types, & reads/writes in multiple geo regions to the same data set. Redis Enterprise offers flexible deployment options, cloud on-prem, & hybrid. Redis Labs: home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.

GaussDB(for MySQL) is a next generation MySQL-compatible, enterprise-class distributed database service. It uses a decoupled compute and storage architecture and data functions virtualization (DFV) storage that auto-scales up to 128 TB per DB instance. There is virtually no risk of data loss. It supports millions of QPS throughputs and cross-AZ deployment, combining the performance and reliability of commercial databases with the flexibility of open source databases. By decoupling compute and storage, connecting them through RDMA, and using a "log as database" architecture, you can get seven times the performance of open-source databases. To scale read capacity and performance, you can add up to 15 read replicas for a primary node within minutes. GaussDB(for MySQL) is fully compatible with MySQL. You can easily migrate your MySQL databases to GaussDB(for MySQL) without reconstructing existing applications and without sharding.

Google Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads. Fast and performant: Use Cloud Bigtable as the storage engine that grows with you from your first gigabyte to petabyte-scale for low-latency applications as well as high-throughput data processing and analytics. Seamless scaling and replication: Start with a single node per cluster, and seamlessly scale to hundreds of nodes dynamically supporting peak demand. Replication also adds high availability and workload isolation for live serving apps. Simple and integrated: Fully managed service that integrates easily with big data tools like Hadoop, Dataflow, and Dataproc. Plus, support for the open source HBase API standard makes it easy for development teams to get started.

Aerospike is the global leader in next-generation, real-time NoSQL data solutions for any scale. Aerospike enterprises overcome seemingly impossible data bottlenecks to compete and win with a fraction of the infrastructure complexity and cost of legacy NoSQL databases. Aerospike’s patented Hybrid Memory Architecture™ delivers an unbreakable competitive advantage by unlocking the full potential of modern hardware, delivering previously unimaginable value from vast amounts of data at the edge, to the core and in the cloud. Aerospike empowers customers to instantly fight fraud; dramatically increase shopping cart size; deploy global digital payment networks; and deliver instant, one-to-one personalization for millions of customers. Aerospike customers include Airtel, Banca d’Italia, Nielsen, PayPal, Snap, Verizon Media and Wayfair. The company is headquartered in Mountain View, Calif., with additional locations in London; Bengaluru, India; and Tel Aviv, Israel.

Welcome to H2, the Java SQL database. In embedded mode, an application opens a database from within the same JVM using JDBC. This is the fastest and easiest connection mode. The disadvantage is that a database may only be open in one virtual machine (and class loader) at any time. As in all modes, both persistent and in-memory databases are supported. There is no limit on the number of database open concurrently, or on the number of open connections. The mixed mode is a combination of the embedded and the server mode. The first application that connects to a database does that in embedded mode, but also starts a server so that other applications (running in different processes or virtual machines) can concurrently access the same data. The local connections are as fast as if the database is used in just the embedded mode, while the remote connections are a bit slower.

How is platform independent eXtremeDB different? - Hybrid data storage. Unlike other IMDS, eXtremeDB can be all-in-memory, all-persistent, or have a mix of in-memory tables and persistent tables - Active Replication Fabric™ is unique to eXtremeDB, offering bidirectional replication, multi-tier replication (e.g. edge-to-gateway-to-gateway-to-cloud), compression to maximize limited bandwidth networks and more - Row & Columnar Flexibility for Time Series Data supports database designs that combine row-based and column-based layouts, in order to best leverage the CPU cache speed - Embedded and Client/Server. Fast, flexible eXtremeDB is data management wherever you need it, and can be deployed as an embedded database system, and/or as a client/server database system -A hard real-time deterministic option in eXtremeDB/rt Designed for use in resource-constrained, mission-critical embedded systems. Found in everything from routers to satellites to trains to stock markets worldwide

Build your entire backend within minutes with just a few lines of code using the frameworks and languages you love. Allowing you to focus on design and innovation instead of tedious and repetitive backend tasks. Products Appwrite Cloud 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.

FairCom DB is ideal for large-scale, mission-critical, core-business applications that require performance, reliability and scalability that cannot be achieved by other databases. FairCom DB delivers predictable high-velocity transactions and massively parallel big data analytics. It empowers developers with NoSQL APIs for processing binary data at machine speed and ANSI SQL for easy queries and analytics over the same binary data. Among the companies that take advantage of the flexibility of FairCom DB is Verizon, who recently chose FairCom DB as an in-memory database for its Verizon Intelligent Network Control Platform Transaction Server Migration. FairCom DB is an advanced database engine that gives you a Continuum of Control to achieve unprecedented performance with the lowest total cost of ownership (TCO). You do not conform to FairCom DB…FairCom DB conforms to you. With FairCom DB, you are not forced to conform your needs to meet the limitations of the database.

ClickHouse is a fast open-source OLAP database management system. It is column-oriented and allows to generate analytical reports using SQL queries in real-time. ClickHouse's performance exceeds comparable column-oriented database management systems currently available on the market. It processes hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. ClickHouse uses all available hardware to its full potential to process each query as fast as possible. Peak processing performance for a single query stands at more than 2 terabytes per second (after decompression, only used columns). In distributed setup reads are automatically balanced among healthy replicas to avoid increasing latency. ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters. All nodes are equal, which allows avoiding having single points of failure.

Cost-effectively run mission-critical workloads at scale with Azure Managed Instance for Apache Cassandra. Easily manage changing demands with multiple resource and data replication options. Ensure business continuity with zero downtime scalability for hybrid and cloud deployments. Develop applications faster using familiar and fully compatible Cassandra tools and languages. Free yourself from infrastructure management without compromising security. Run your workloads on a managed, secure service to streamline operations with automated repairs, patches, and updates. Make your database more durable and resilient with automatic backups and disaster recovery. Retain the flexibility and control of your hardware configuration with turnkey scaling services and hybrid deployment options. An instance-based pricing model enables you to define the number of CPU cores, virtual machines SKU, and memory/disk space needs.

Ververica Platform enables every enterprise to take advantage and derive immediate insight from its data in real-time. Powered by Apache Flink's robust streaming runtime, Ververica Platform makes this possible by providing an integrated solution for stateful stream processing and streaming analytics at scale. Powered by Apache Flink, Ververica Platform provides high throughput, low latency data processing, powerful abstractions and the operational flexibility trusted by some of the world’s largest and most successful data-driven enterprises such as Alibaba, Netflix and Uber. Ververica Platform brings the accumulated knowledge of our experience working with some of these large and innovative, data-driven companies into an easily-accessible, cost-effective and secure enterprise-ready platform.

Fauna is a data API for modern applications that facilitates rich clients with serverless backends by providing a web-native interface with support for GraphQL and custom business logic, frictionless integration with the serverless ecosystem, a no compromise multi-cloud architecture you can trust and grow with and total freedom from database operations. Instantly create multiple databases in one account leveraging multi-tenancy for development or customer-facing use case. Create a distributed database across one geography or the globe in just three clicks and easily import existing data. Scale seamlessly without ever managing servers, clusters, data partitioning, or replication. Track usage and consumption-based billing in near real time via a dashboard.

HSQLDB (HyperSQL DataBase) is the leading SQL relational database system written in Java. It offers a small, fast multithreaded and transactional database engine with in-memory and disk-based tables and supports embedded and server modes. It includes a powerful command line SQL tool and simple GUI query tools. HSQLDB supports the widest range of SQL Standard features seen in any open source database engine: SQL:2016 core language features and an extensive list of SQL:2016 optional features. It supports full Advanced ANSI-92 SQL with only two exceptions. Many extensions to the Standard, including syntax compatibility modes and features of other popular database engines, are also supported.

It dramatically cuts the effort, cost, and risk of migrating to/from any of the following database formats: Oracle, MySQL, MariaDB, SQL Server, PostgreSQL, IBM DB2, IBM Informix, InterSystems Caché, Teradata, Visual Foxpro, SQLite, FireBird, InterBase, Microsoft Access, Microsoft Excel, Paradox, Lotus, dBase, CSV/Text and transfer any ODBC DSN data source to them. This software can help you quickly migrate a variety of data, structures and objects, saving you a lot of time and money. It will automatically migrate all table structures, data, schemas(Oracle, SQL Server 2000 or higher, PostgreSQL, IBM DB2 and so), LOBs(Large Text/Binary Objects), primary/foreign keys, indexes, auto-increment(serial), comments and default values and more. You can migrate data between two different character sets(e.g.: UTF8, CP1250 etc.) and the software automatically convert different data encodings. You can also change the field name/data type/nullable/precision/numscale or filter data when migrating.

Build your own software. Create drag-and-drop forms for your business. Change them as your business grows. Use forms as building blocks, and connect them together to make smarter applications. We'll turn your forms into interactive databases that you can share, filter, and customize. Invite your team and give them group-based permissions. Build anything from a private CRM to a public survey. We'll host your data online, so you can access it from any device. Share permissions with partner organizations, and revoke them at any time. Partners can invite and manage their own members. Integrate with hundreds of applications using Zapier, or use formulas to automate your data entry. Team Build drag-and-drop workflows from dozens of triggers, conditions, and actions. Send notifications, trigger integrations, or assign records. Developers Write model-based custom scripts triggered by buttons, workflows, or APIs.

Redis for Windows alternative, In-Memory Datastore Ready for the most demanding production workloads. Free for development and testing. Fully Redis-compatible. The core of Memurai is based on the Redis source code, ported to run natively on Windows. Memurai reliably supports all the features that make Redis the most popular NoSQL data store, including LRU eviction, persistence, replication, transactions, LUA scripting, high-availability, pub/sub, cluster, modules, and streams. A lot of attention has been put into ensuring full compatibility, including with the myriad of libraries and tools already available for Redis. You can even replicate data between Memurai and Redis, or use both within the same cluster! Seamless integration with Windows infrastructure and workflows. Whether it's used for development or production, Memurai seamlessly integrates with Windows best practices, tools and workflows. Engineering teams with an existing investments in the Windows infrastructure will be

Altibase is an enterprise-grade, high-performance and relational open source database. A single database that delivers high-intensity data processing through an in-memory database portion and large storage capacity through an on-disk database portion. 10 times faster than conventional on-disk databases. Clients have consistently chosen Altibase over Oracle, IBM, Microsoft, and others. Altibase has replaced many traditional on-disk databases in various industries that require real time solutions since 1999. Altibase now has over 650 global enterprise clients including 8 Fortune Global 500 companies with thousands of mission-critical deployments worldwide. Product maturity rich with function and feature. Altibase is open source which includes its cutting-edge scale-out technology, sharding. No license costs with flexible and competitive subscription fees. 20 years’ accumulated know-how of dealing with over 6,000 mission-critical use cases.

PlanetScale is a MySQL-compatible database platform that makes databases near infinitely scalable, easier, and safer to manage. Databases are complex and fragile, making them difficult to manage and easy to break. With cutting edge developer-first features like non-blocking schema changes, built-in horizontal sharding, and real-time analytics you can add power to your database layer without having to hire additional database expertise. Increase developer productivity with database branching, a Git-like feature that allows you to test and deploy schema changes to production with zero downtime. Get a database that enables you to monitor, debug, and even boost queries up to 1000x faster without leaving the product or investing in a separate set of tooling. You’ll never out-scale PlanetScale: Our solution is the only solution built on battle-tested Vitess, a database clustering system for horizontal scaling of MySQL used by GitHub, HubSpot, Slack and more.

RethinkDB pushes JSON to your apps in realtime. When your app polls for data, it becomes slow, unscalable, and cumbersome to maintain. RethinkDB is the open-source, scalable database that makes building realtime apps dramatically easier. Web apps like Google Docs, Trello, and Quora pioneered the realtime experience on the web. With RethinkDB, you can build amazing realtime apps with dramatically less engineering effort. When a player takes an action in a multiplayer game, every other player in the game needs to see the change in realtime. RethinkDB dramatically simplifies the data infrastructure for low latency, high throughput realtime interactions. RethinkDB dramatically reduces the complexity of building realtime trading and optimization engines. Publish realtime updates to thousands of clients, and provide pricing updates to users in milliseconds. Build realtime dashboards with RethinkDB data push notifications, and make instantaneous business decisions.

Vector database built for scalable similarity search. Open-source, highly scalable, and blazing fast. Store, index, and manage massive embedding vectors generated by deep neural networks and other machine learning (ML) models. With Milvus vector database, you can create a large-scale similarity search service in less than a minute. Simple and intuitive SDKs are also available for a variety of different languages. Milvus is hardware efficient and provides advanced indexing algorithms, achieving a 10x performance boost in retrieval speed. Milvus vector database has been battle-tested by over a thousand enterprise users in a variety of use cases. With extensive isolation of individual system components, Milvus is highly resilient and reliable. The distributed and high-throughput nature of Milvus makes it a natural fit for serving large-scale vector data. Milvus vector database adopts a systemic approach to cloud-nativity, separating compute from storage.

Get access to new MongoDB features and official releases that are 100% compatible with the platform. If the load on your cluster increases, you can add new servers or increase their capacity in a matter of minutes. Invest your time in your project, and we’ll take care of database maintenance: software backups, monitoring, fault tolerance, and updates. You can enable sharding for clusters that have MongoDB version 4.0 or higher. You can also add and configure individual shards to improve cluster performance. All DBMS connections are encrypted using the TLS protocol, and DB backups are GPG-encrypted. Data is secured in accordance with the requirements of local regulatory, GDPR, and ISO industry standards. MongoDB has no regular tables and stores data as collections of JSON-like documents. This is great for projects where data structures may change during development.

Choosing from 100s of database tuning knobs is no problem for our AI. Let it do the work for you so you can have your life back. Monitor your database performance to gain insights and automatically adjust your configuration as workloads change. Built for today’s cloud databases, OtterTune doesn’t touch any user data, but fine-tunes your DBaaS operations behind the scenes. OtterTune is not just a fancy frontend to a few tools - but a revolutionary machine learning and machine training platform that makes the database backend run in the best possible scenario, now and in the future. OtterTune uses machine learning to actively tune your database. Simply select a target objective to optimize (e.g., throughput, latency, cost) and OtterTune automatically updates 100+ configuration settings to improve that target. Don't get surprised by outages or performance drops. OtterTune monitors your database and collects metrics about your workload.

For ERPs like Oracle e-Business Suite, PeopleSoft & Databases Clonetab is the only software which can virtualize and provide true end-to-end on-demand clones of ERPs (like Oracle e-Business Suite, PeopleSoft) or databases. It can also provide an integrated solution for virtualization, cloning, Disaster Recovery, Backups and Oracle EBS Snapshots. Clonetab engines – Deeply aware of ERP Applications, not just Databases The engines are deeply EBS & PS aware and can identify the major releases (e.g. R12.1, R12.2) and patchset levels like AD, TXK and executes the clone commands accordingly. The platform provides options to retain EBS/PS specific options like profile option retention, Concurrent/Process scheduler setups retention, EBS users with responsibilities retention, Database links, Directories retention, workflows setups and many more options, resulting in a true end-to-end ERP clone.

Easily deploy a high availability solution for disaster recovery and failover between and within cloud regions and zero downtime for maintenance. Improve performance and availability with multiple master databases spread across different locations. Keep local data local and control which tables are globally replicated, and which stay local. Support higher throughput when workloads threaten to exceed available compute capacity. For organizations that need or prefer to self-host and self-manage their databases, pgEdge Platform runs on-premises or in self-managed cloud provider accounts. Runs on numerous OS and hardware combinations, and enterprise-class support is available. Self-hosted Edge Platform nodes can also be part of a pgEdge Cloud Postgres cluster.

PipelineDB is a PostgreSQL extension for high-performance time-series aggregation, designed to power realtime reporting and analytics applications. PipelineDB allows you to define continuous SQL queries that perpetually aggregate time-series data and store only the aggregate output in regular, queryable tables. You can think of this concept as extremely high-throughput, incrementally updated materialized views that never need to be manually refreshed. Raw time-series data is never written to disk, making PipelineDB extremely efficient for aggregation workloads. Continuous queries produce their own output streams, and thus can be chained together into arbitrary networks of continuous SQL.

Focus on application development with Azure Database for MySQL, which is cost-effective and easy to set up, operate, and scale. Enjoy advanced security, high availability, and a service-level agreement (SLA) of up to 99.99 percent. Fully managed MySQL, compatible with the latest community editions, provides maximum flexibility for database operations. Intelligent performance recommendations provide custom analysis and suggestions for MySQL database optimization. Simplified development experience and tight interoperability with Azure App Service and Azure Kubernetes Service (AKS). Enterprise-grade security and compliance, and enhanced security capabilities of Microsoft Defender for Identity. Easily build or migrate your workloads to Azure Database for MySQL. Set up, manage, and automate the maintenance of your MySQL database server, including routine updates, backups, and security. Build with the latest MySQL tools, drivers, and programming languages.

NoSQL is a domain-specific programming language used for accessing, managing, and manipulating non-tabular databases. A NoSQL (originally referring to "non-SQL" or "non-relational") database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Such databases have existed since the late 1960s, but the name "NoSQL" was only coined in the early 21st century, triggered by the needs of Web 2.0 companies. NoSQL databases are increasingly used in big data and real-time web applications.NoSQL systems are also sometimes called Not only SQL to emphasize that they may support SQL-like query languages or sit alongside SQL databases in polyglot-persistent architectures. Many NoSQL stores compromise consistency (in the sense of the CAP theorem) in favor of availability, partition tolerance, and speed. Barriers to the greater adoption of NoSQL stores include the use of low-level query languages.

RavenDB Cloud delivers the world's leading database for modern applications as a fully automated cloud service run by the same developers that build and maintain the database engine. Stringent security features are built in and time-consuming tasks such as infrastructure provisioning, database setup, ensuring availability, backups, and more have been automated to the point where your overhead is reduced dramatically. Our built in GUI and simple API lets you focus more of your resources on building your applications and less time working with your database. Pick a service provider, location and we’ll setup the rest. Providing you with a ready-to-go system in just minutes. Enjoy automatic instance setup, maintenance and upgrades. All of this without any effort from your side and with 24/7 support. Scale your instances as your business grows, optimize the costs by taking advantage of our long-term contracts.

A fully managed PostgreSQL-compatible database service for your most demanding enterprise workloads. AlloyDB combines the best of Google with PostgreSQL, for superior performance, scale, and availability. Fully compatible with PostgreSQL, providing flexibility and true portability for your workloads. Superior performance, 4x faster than standard PostgreSQL for transactional workloads. Fast, real-time insights, up to 100x faster analytical queries than standard PostgreSQL. AlloyDB AI can help you build a wide range of generative AI applications. AlloyDB Omni is a downloadable edition of AlloyDB designed to run anywhere. Scale up and achieve predictable performance and a high availability SLA of 99.99%, inclusive of maintenance, for your most demanding enterprise workloads. Automated and machine learning-enabled autopilot systems simplify management by handling database patching, backups, scaling, and replication for you.

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB makes it easy to store, query, and index JSON data. Amazon DocumentDB is a non-relational database service designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data. Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs).