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DBMS > Apache Phoenix vs. CockroachDB vs. H2 vs. Memcached vs. Riak TS

System Properties Comparison Apache Phoenix vs. CockroachDB vs. H2 vs. Memcached vs. Riak TS

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCockroachDB  Xexclude from comparisonH2  Xexclude from comparisonMemcached  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.In-memory key-value store, originally intended for cachingRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitephoenix.apache.orgwww.cockroachlabs.comwww.h2database.comwww.memcached.org
Technical documentationphoenix.apache.orgwww.cockroachlabs.com/­docswww.h2database.com/­html/­main.htmlgithub.com/­memcached/­memcached/­wikiwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperApache Software FoundationCockroach LabsThomas MuellerDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalOpen Source, formerly Basho Technologies
Initial release20142015200520032015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201923.1.1, May 20232.2.220, July 20231.6.25, March 20243.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0, commercial license availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSD licenseOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaCErlang
Server operating systemsLinux
Unix
Windows
Linux
macOS
Windows
All OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Data schemeyes infolate-bound, schema-on-read capabilitiesdynamic schemayesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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 indexesyesyesyesnorestricted
SQL infoSupport of SQLyesyes, wire compatible with PostgreSQLyesnoyes, limited
APIs and other access methodsJDBCJDBCJDBC
ODBC
Proprietary protocolHTTP API
Native Erlang Interface
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Java.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored Procedures and User-Defined FunctionsnoErlang
Triggersnonoyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication using RAFTWith clustering: 2 database servers on different computers operate on identical copies of a databasenone infoRepcached, a Memcached patch, provides this functionallityselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole-based access controlfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolno

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Apache PhoenixCockroachDBH2MemcachedRiak TS
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