DBMS > Microsoft SQL Server vs. Redis vs. SingleStore vs. Splice Machine vs. VoltDB
System Properties Comparison Microsoft SQL Server vs. Redis vs. SingleStore vs. Splice Machine vs. VoltDB
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Name | Microsoft SQL Server Xexclude from comparison | Redis Xexclude from comparison | SingleStore former name was MemSQL Xexclude from comparison | Splice Machine Xexclude from comparison | VoltDB Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | Microsofts flagship relational DBMS | Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies. | MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type | Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark | Distributed In-Memory NewSQL RDBMS Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Relational DBMS | Key-value store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence | Relational DBMS | Relational DBMS | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Document store Graph DBMS Spatial DBMS | Document store with RedisJSON Graph DBMS with RedisGraph Spatial DBMS Search engine with RediSearch Time Series DBMS with RedisTimeSeries Vector DBMS | Document store Spatial DBMS Time Series DBMS Vector DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | www.microsoft.com/en-us/sql-server | redis.com redis.io | www.singlestore.com | splicemachine.com | www.voltdb.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | learn.microsoft.com/en-US/sql/sql-server | docs.redis.com/latest/index.html redis.io/docs | docs.singlestore.com | splicemachine.com/how-it-works | docs.voltdb.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Microsoft | Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc. | SingleStore Inc. | Splice Machine | VoltDB Inc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 1989 | 2009 | 2013 | 2014 | 2010 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | SQL Server 2022, November 2022 | 7.2.5, May 2024 | 8.5, January 2024 | 3.1, March 2021 | 11.3, April 2022 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | commercial restricted free version is available | Open Source source-available extensions (modules), commercial licenses for Redis Enterprise | commercial free developer edition available | Open Source AGPL 3.0, commercial license available | Open Source AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementation language | C++ | C | C++, Go | Java | Java, C++ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Linux Windows | BSD Linux OS X Windows ported and maintained by Microsoft Open Technologies, Inc. | Linux 64 bit version required | Linux OS X Solaris Windows | Linux OS X for development | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | yes | schema-free | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | partial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes with RediSearch module | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | yes | with RediSQL module | yes but no triggers and foreign keys | yes | yes only a subset of SQL 99 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | ADO.NET JDBC ODBC OLE DB Tabular Data Stream (TDS) | proprietary protocol RESP - REdis Serialization Protocol | Cluster Management API as HTTP Rest and CLI HTTP API JDBC MongoDB API ODBC | JDBC Native Spark Datasource ODBC | Java API JDBC RESTful HTTP/JSON API | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | C# C++ Delphi Go Java JavaScript (Node.js) PHP Python R Ruby Visual Basic | C C# C++ Clojure Crystal D Dart Elixir Erlang Fancy Go Haskell Haxe Java JavaScript (Node.js) Lisp Lua MatLab Objective-C OCaml Pascal Perl PHP Prolog Pure Data Python R Rebol Ruby Rust Scala Scheme Smalltalk Swift Tcl Visual Basic | Bash C C# Java JavaScript (Node.js) Python | C# C++ Java JavaScript (Node.js) Python R Scala | C# C++ Erlang not officially supported Go Java JavaScript Node.js PHP Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java | Lua; Redis Functions coming in Redis 7 (slides and Github) | yes | yes Java | Java | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes | publish/subscribe channels provide some trigger functionality; RedisGears | no | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | tables can be distributed across several files (horizontal partitioning); sharding through federation | Sharding Automatic hash-based sharding with support for hash-tags for manual sharding | Sharding hash partitioning | Shared Nothhing Auto-Sharding, Columnar Partitioning | Sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | yes, but depending on the SQL-Server Edition | Multi-source replication with Redis Enterprise Pack Source-replica replication Chained replication is supported | Source-replica replication stores two copies of each physical data partition on two separate nodes | Multi-source replication Source-replica replication | Multi-source replication Source-replica replication | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | no | through RedisGears | no can define user-defined aggregate functions for map-reduce-style calculations | Yes, via Full Spark Integration | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency | Eventual Consistency Causal consistency can be enabled in Active-Active databases Strong consistency with Redis Raft Strong eventual consistency with Active-Active | Immediate Consistency | Immediate Consistency | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | yes | no | no | yes | no FOREIGN KEY constraints are not supported | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | Atomic execution of command blocks and scripts and optimistic locking | ACID | ACID | ACID Transactions are executed single-threaded within stored procedures | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes Data access is serialized by the server | yes, multi-version concurrency control (MVCC) | yes, multi-version concurrency control (MVCC) | yes Data access is serialized by the server | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes Configurable mechanisms for persistency via snapshots and/or operations logs | yes All updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log. | yes | yes Snapshots and command logging | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes | yes | yes | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | fine grained access rights according to SQL-standard | Access Control Lists (ACLs): redis.io/docs/management/security/acl LDAP and Role-Based Access Control (RBAC) for Redis Enterprise Mutual TLS authentication: redis.io/docs/management/security/encryption Password-based authentication | Fine grained access control via users, groups and roles | Access rights for users, groups and roles according to SQL-standard | Users and roles with access to stored procedures | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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3rd parties | Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems. » more Navicat for SQL Server gives you a fully graphical approach to database management and development. » more | Redisson PRO: The ultra-fast Redis Java Client. » more Navicat for Redis: the award-winning Redis management tool with an intuitive and powerful graphical interface. » more CData: Connect to Big Data & NoSQL through standard Drivers. » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Microsoft SQL Server | Redis | SingleStore former name was MemSQL | Splice Machine | VoltDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | MySQL is the DBMS of the Year 2019 The struggle for the hegemony in Oracle's database empire Microsoft SQL Server is the DBMS of the Year | PostgreSQL is the DBMS of the Year 2018 MySQL, PostgreSQL and Redis are the winners of the March ranking MongoDB is the DBMS of the year, defending the title from last year | Turbocharge Your Application Development Using WebAssembly With SingleStoreDB Cloud-Based Analytics With SingleStoreDB SingleStore: The Increasing Momentum of Multi-Model Database Systems | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Conferences, events and webinars | PASS Data Community Summit | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Recent citations in the news | Threat Actors Target Contractor Software Getting started with delivering generative AI capabilities in SQL Server and Azure SQL Make SQL Server end of support the start of your AWS cloud journey U.S. CISA adds Microsoft Windows, Apache HugeGraph-Server, Oracle JDeveloper, Oracle WebLogic Server, and M... SQL Server vNext: When and What Is Coming provided by Google News | SingleStore Partners With Snowflake to Help Users Build Faster, More Efficient Real Time AI Applications Achieve near real-time analytics on Amazon DynamoDB with SingleStore Third time was the charm for SingleStore in the cloud, CEO says SingleStore CEO sees little future for purpose-built vector databases Building a Modern Database: Nikita Shamgunov on Postgres and Beyond provided by Google News | Machine learning data pipeline outfit Splice Machine files for insolvency Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine Learning 2021: The Year of the Feature Store Monte Zweben's Splice Machine Introduces New Hadoop RDBMS Splice Machine Launches ML Manager Beta Program to Meet the Growing Demand for Operational AI provided by Google News | VoltDB Launches Active(N) Lossless Cross Data Center Replication Unveiling Volt Active Data’s game-changing approach to limitless app performance VoltDB Announces Key New Hires Solutions Review Sits Down with VoltDB CEO David Flower VoltDB Aims for Fast Big Data Development provided by Google News |
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