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DBMS > Apache Phoenix vs. CockroachDB vs. IRONdb vs. Titan

System Properties Comparison Apache Phoenix vs. CockroachDB vs. IRONdb vs. Titan

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCockroachDB  Xexclude from comparisonIRONdb  Xexclude from comparisonTitan  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
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.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Websitephoenix.apache.orgwww.cockroachlabs.comwww.circonus.com/solutions/time-series-database/github.com/­thinkaurelius/­titan
Technical documentationphoenix.apache.orgwww.cockroachlabs.com/­docsdocs.circonus.com/irondb/category/getting-startedgithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software FoundationCockroach LabsCirconus LLC.Aurelius, owned by DataStax
Initial release2014201520172012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201924.1.0, May 2024V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC and C++Java
Server operating systemsLinux
Unix
Windows
Linux
macOS
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesdynamic schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyes, wire compatible with PostgreSQLSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJDBCJDBCHTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes, in Luayes
Triggersnononoyes
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 RAFTAutomatic, metric affinity per nodeyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication using RAFTconfigurable replication factor, datacenter awareyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole-based access controlnoUser authentification and security via Rexster Graph Server

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More resources
Apache PhoenixCockroachDBIRONdbTitan
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