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DBMS > Apache Phoenix vs. Datomic vs. Dgraph vs. HEAVY.AI vs. Infobright

System Properties Comparison Apache Phoenix vs. Datomic vs. Dgraph vs. HEAVY.AI vs. Infobright

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDatomic  Xexclude from comparisonDgraph  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInfobright  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDistributed and scalable native Graph DBMSA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMSRelational 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
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Websitephoenix.apache.orgwww.datomic.comdgraph.iogithub.com/­heavyai/­heavydb
www.heavy.ai
ignitetech.com/­softwarelibrary/­infobrightdb
Technical documentationphoenix.apache.orgdocs.datomic.comdgraph.io/­docsdocs.heavy.ai
DeveloperApache Software FoundationCognitectDgraph Labs, Inc.HEAVY.AI, Inc.Ignite Technologies Inc.; formerly InfoBright Inc.
Initial release20142012201620162005
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.6735, June 20235.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freeOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ClojureGoC++ and CUDAC
Server operating systemsLinux
Unix
Windows
All OS with a Java VMLinux
OS X
Windows
LinuxLinux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesyesyesnono infoKnowledge Grid Technology used instead
SQL infoSupport of SQLyesnonoyesyes
APIs and other access methodsJDBCRESTful HTTP APIGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Clojure
Java
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsyes infoTransaction Functionsnonono
TriggersnoBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersyesSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersSynchronous replication via RaftMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynono infoPlanned for future releasesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilities

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More resources
Apache PhoenixDatomicDgraphHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Infobright
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