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DBMS > Apache Phoenix vs. Redis vs. RocksDB vs. SAP HANA

System Properties Comparison Apache Phoenix vs. Redis vs. RocksDB vs. SAP HANA

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonRedis  Xexclude from comparisonRocksDB  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBasePopular 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.Embeddable persistent key-value store optimized for fast storage (flash and RAM)In-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceKey-value 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
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score157.80
Rank#6  Overall
#1  Key-value stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Score44.69
Rank#22  Overall
#16  Relational DBMS
Websitephoenix.apache.orgredis.com
redis.io
rocksdb.orgwww.sap.com/­products/­hana.html
Technical documentationphoenix.apache.orgdocs.redis.com/­latest/­index.html
redis.io/­docs
github.com/­facebook/­rocksdb/­wikihelp.sap.com/­hana
DeveloperApache Software FoundationRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.Facebook, Inc.SAP
Initial release2014200920132010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20197.2.4, January 20248.11.4, April 20242.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageJavaCC++
Server operating systemsLinux
Unix
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
LinuxAppliance or cloud-service
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesnoyes
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.nononono
Secondary indexesyesyes infowith RediSearch modulenoyes
SQL infoSupport of SQLyeswith RediSQL modulenoyes
APIs and other access methodsJDBCproprietary protocol infoRESP - REdis Serialization ProtocolC++ API
Java API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
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
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsLua; Redis Functions coming in Redis 7 (slides and Github)noSQLScript, R
Triggersnopublish/subscribe channels provide some trigger functionality; RedisGearsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardinghorizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationthrough RedisGearsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scripts and optimistic lockingyesACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the serveryesyes
Durability infoSupport for making data persistentyesyes 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.yesyesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess 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
noyes

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3rd partiesAiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
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Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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