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DBMS > Redis vs. Rockset vs. Splice Machine

System Properties Comparison Redis vs. Rockset vs. Splice Machine

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Editorial information provided by DB-Engines
NameRedis  Xexclude from comparisonRockset  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.A scalable, reliable search and analytics service in the cloud, built on RocksDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceDocument storeRelational DBMS
Secondary database modelsDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score152.19
Rank#7  Overall
#1  Key-value stores
Score0.88
Rank#200  Overall
#34  Document stores
Score0.54
Rank#243  Overall
#114  Relational DBMS
Websiteredis.com
redis.io
rockset.comsplicemachine.com
Technical documentationdocs.redis.com/­latest/­index.html
redis.io/­docs
docs.rockset.comsplicemachine.com/­how-it-works
DeveloperRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.RocksetSplice Machine
Initial release200920192014
Current release7.2.5, May 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infosource-available extensions (modules), commercial licenses for Redis EnterprisecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Java
Server operating systemsBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
hostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datepartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesdynamic typingyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono infoingestion from XML files supported
Secondary indexesyes infowith RediSearch moduleall fields are automatically indexedyes
SQL infoSupport of SQLwith RediSQL moduleRead-only SQL queries, including JOINsyes
APIs and other access methodsproprietary protocol infoRESP - REdis Serialization ProtocolHTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
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
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresLua; Redis Functions coming in Redis 7 (slides and Github)noyes infoJava
Triggerspublish/subscribe channels provide some trigger functionality; RedisGearsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingAutomatic shardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsthrough RedisGearsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scripts and optimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoData access is serialized by the serveryesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess 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
Access rights for users and organizations can be defined via Rockset consoleAccess rights for users, groups and roles according to SQL-standard

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More resources
RedisRocksetSplice Machine
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