Best NoSQL Database for Mid Size Business

Find and compare the best NoSQL Database for Mid Size Business in 2024

Use the comparison tool below to compare the top NoSQL Database for Mid Size Business on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    NetLib Encryptionizer Reviews
    Transparent Data Encryption for all Editions (Express to Enterprise) of SQL Server. No programming required. Developer friendly: can be easily bundled with SQL Server-based applications. An economical alternative to upgrading from SQL Server Enterprise. Assists in compliance with various regulations. Protects intellectual property and data.
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    ScyllaDB Reviews
    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.
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    Neo4j Reviews
    Neo4j's graph platform is designed to help you leverage data and data relationships. Developers can create intelligent applications that use Neo4j to traverse today's interconnected, large datasets in real-time. Neo4j's graph database is powered by a native graph storage engine and processing engine. It provides unique, actionable insights through an intuitive, flexible, and secure database.
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    IBM Cloudant Reviews
    IBM Cloudant®, a distributed database, is designed to handle heavy workloads common in large, fast-growing web apps and mobile apps. Cloudant is available as an SLA-backed and fully managed IBM Cloud™, service that elastically scales throughput, storage, and both.
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    Azure Cosmos DB Reviews
    Azure Cosmos DB, a fully managed NoSQL databank service, is designed for modern app development. It offers guaranteed single-digit millisecond response time and 99.999 percent availability. This service is backed by SLAs and instant scalability. Open source APIs for MongoDB or Cassandra are also available. With turnkey multi-master global distribution, you can enjoy fast writes and readings from anywhere in the world.
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    Oracle Berkeley DB Reviews
    Berkeley DB is a set of embedded key-value databases libraries that provide high-performance data management services for applications.
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    Amazon Neptune Reviews
    Amazon Neptune is a fully managed graph database service that allows you to quickly and reliably build applications that can work with highly connected data sets. Amazon Neptune's core is a purpose-built graph database engine that can store billions of relationships and query the graph with only milliseconds latency. Amazon Neptune supports the popular graph models Property Graph, W3C's RDF, as well as their respective query languages Apache TinkerPop Gremlin, SPARQL. This allows you to quickly build queries that efficiently navigate large datasets. Neptune supports graph use cases like recommendation engines, fraud detection and knowledge graphs. It also powers network security and drug discovery.
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    Google Cloud Bigtable Reviews
    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.
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    Macrometa Reviews
    We provide a geo-distributed, real-time database, stream processing, and compute runtime for event driven applications across up to 175 global edge data centers. Our platform is loved by API and app developers because it solves the most difficult problems of sharing mutable states across hundreds of locations around the world. We also have high consistency and low latency. Macrometa allows you to surgically expand your existing infrastructure to bring your application closer to your users. This allows you to improve performance and user experience, as well as comply with global data governance laws. Macrometa is a streaming, serverless NoSQL database that can be used for stream data processing, pub/sub, and compute engines. You can create stateful data infrastructure, stateful function & containers for long-running workloads, and process data streams real time. We do the ops and orchestration, you write the code.
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    Google Cloud Datastore Reviews
    Datastore is a highly-scalable NoSQL database that can be used for your applications. Datastore handles replication and sharding automatically, giving you a reliable and durable database that scales to your application's load. Datastore offers many capabilities, including ACID transactions, SQL like queries, indexes, as well as many other features. Datastore's RESTful interface makes it easy to access data from any deployment target. Datastore can be used as an integration point to build solutions that span App Engine and Compute Engine. You can focus on building your applications and not worrying about provisioning or load anticipation. Datastore scales seamlessly with your data and allows applications to maintain high performance even when they receive more traffic.
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    TiMi Reviews
    TIMi allows companies to use their corporate data to generate new ideas and make crucial business decisions more quickly and easily than ever before. The heart of TIMi’s Integrated Platform. TIMi's ultimate real time AUTO-ML engine. 3D VR segmentation, visualization. Unlimited self service business Intelligence. TIMi is a faster solution than any other to perform the 2 most critical analytical tasks: data cleaning, feature engineering, creation KPIs, and predictive modeling. TIMi is an ethical solution. There is no lock-in, just excellence. We guarantee you work in complete serenity, without unexpected costs. TIMi's unique software infrastructure allows for maximum flexibility during the exploration phase, and high reliability during the production phase. TIMi allows your analysts to test even the most crazy ideas.
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    InfinityDB Reviews
    InfinityDB Embedded, a Java NoSQL Java database, is a hierarchical sorted value store. It is flexible, high-performance, multicore, and maintenance-free. InfinityDB Client/Server and InfinityDB Encrypted databases are now also available. According to our customers and provided performance tests, InfinityDB offers the best performance. Multi-core overlapping operations scale almost linearly with thread count. Threads use fair scheduling with very low interthread interference. Random I/O scales logarithmically with file size. Caches grow only as they are used and are packed efficiently. Database open is instantaneous even after abrupt exit.
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    Red Hat Data Grid Reviews
    Red Hat®, Data Grid is a distributed, in-memory NoSQL datastore. Your applications can access, process and analyze data at high speed to provide a superior user experience. High performance, elastic scaling, always available You can quickly access your data using low latency data processing with memory (RAM), and distributed parallel execution. Linear scaling is possible with data partitioning and distributed across cluster nodes. Data replication across cluster nodes ensures high availability. Cross-datacenter geo-replication, clustering and fault tolerance allow you to be resilient and recover from disasters. A flexible, functionally rich NoSQL database store allows you to develop more efficiently and increase productivity. You can achieve complete data security through encryption and role-based access. Data Grid 7.3.10 offers a security enhancement to fix a CVE. Data Grid 7.3.10 must be upgraded as soon as possible.
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    DataStax Reviews
    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
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    Oracle Database Reviews
    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.
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    Apache CouchDB Reviews

    Apache CouchDB

    The Apache Software Foundation

    Apache CouchDB™, allows you to access your data wherever you need it. The Couch Replication Protocol can be used in a variety products and projects that span all possible computing environments, from global distributed server-clusters to mobile phones to web browsers.
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    Apache HBase Reviews

    Apache HBase

    The Apache Software Foundation

    Apache HBase™, is used when you need random, real-time read/write access for your Big Data. This project aims to host very large tables, billions of rows and X million columns, on top of clusters of commodity hardware.
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    Dgraph Reviews
    Dgraph is an open-source, low-latency, high throughput native and distributed graph database. DGraph is designed to scale easily to meet the needs for small startups and large companies with huge amounts of data. It can handle terabytes structured data on commodity hardware with low latency to respond to user queries. It addresses business needs and can be used in cases that involve diverse social and knowledge networks, real-time recommendation engines and semantic search, pattern matching, fraud detection, serving relationship information, and serving web applications.
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    Amazon Keyspaces Reviews
    Amazon Keyspaces (for Apache Cassandra), is a highly available, scalable, and managed Apache Cassandra database service. Amazon Keyspaces allows you to run Cassandra workloads in AWS using the same Cassandra code and developer tools as you use today. You don't need to provision, patch or manage servers. Also, you don't need to install, maintain or operate software. Amazon Keyspaces is completely serverless. This means that you only pay for the resources you use. The service can scale tables automatically to meet the demands of your applications. With virtually unlimited storage and throughput, you can create applications that can serve thousands of requests per minute. Amazon Keyspaces provides the performance, elasticity and enterprise features that you need to run business-critical Cassandra workloads on a large scale.
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    Azure Table Storage Reviews
    Azure Table storage can store petabytes semi-structured data at low costs and keeps costs down. Table storage is able to scale up, unlike many cloud-based or on-premise data stores. Also, availability is not a concern. With geo-redundant storage, data can be replicated three times within one region and three times in another region hundreds of miles away. Flexible data such as web app user data, address books, device data and other metadata can be stored in table storage. You can also use table storage to build cloud applications without having to lock down the data model to specific schemas. Different rows can have different structures in the same table, so you can easily change your application and table schema without having to take it offline. Table storage embraces a strong consistency model.
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    LedisDB Reviews
    Ledisdb, a high-performance NoSQL server and database library written in Go, is Ledisdb. It is similar to Redis, but stores data on disk. It supports many data structures, including kv and list, hash, set, zset, and zset. LedisDB now supports multiple databases as backends.
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    Luna for Apache Cassandra Reviews
    Luna is a subscription for Apache Cassandra support at DataStax. You can enjoy all the benefits offered by open-source Cassandra with the assurance that you have direct access the team that wrote the majority of the code. They also support some of the most important deployments around the globe. You will receive best practices, advice, as well as SLA-based support to maintain your Cassandra deployment. Scale without compromising performance or latency to manage the most complex real-time workloads. You can create highly interactive customer experiences that are real-time and highly interactive. Luna can help you resolve issues and follow best practices for Cassandra clusters. Services can be used to assist with the entire application life cycle. They also allow for deeper integration of your team as they work together on implementation.
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    Couchbase Capella Reviews
    Couchbase Capella, a cloud-based database platform, optimizes storage and processing of JSON-native operational data and analytical data. A faster and better DBaaS with real-time analytics for edge, transaction, search, AI and edge applications. Capella iQ provides natural language coding help. Capella is a multipurpose data base that supports operational and analytical workloads and use-cases, including JSON analysis, vector search, mobile synchronization, and more. It delivers millisecond response at scale, with the best price-performance of any document Database-as-a-Service. Try it for free today, and you'll be up and running within minutes. Capella is the best way to future-proof your business, whether you're facing challenges in development, architecture, or deployment.
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    OrientDB Reviews
    OrientDB is the fastest graph database in the world. Period. A benchmark study by IBM and Tokyo Institute of Technology found that OrientDB is 10x more efficient than Neo4j for graph operations. This applies to all workloads. OrientDB can help you gain competitive advantage and increase innovation through new revenue streams.
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    eXist-db Reviews

    eXist-db

    eXist Solutions

    You can get everything you need with just one step. You don't need to set up and configure multiple components of the system. A feature-rich platform that can be used to build complex applications. XML across all layers makes mapping technologies unnecessary and increases productivity. All versions of eXistDB are Open Source and can be used in academic, commercial, and non-commercial applications.