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DBMS > Apache Phoenix vs. Dgraph vs. GridDB vs. Oracle Coherence vs. Warp 10

System Properties Comparison Apache Phoenix vs. Dgraph vs. GridDB vs. Oracle Coherence vs. Warp 10

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDgraph  Xexclude from comparisonGridDB  Xexclude from comparisonOracle Coherence  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseDistributed and scalable native Graph DBMSScalable in-memory time series database optimized for IoT and Big DataOracles in-memory data grid solutionTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSGraph DBMSTime Series DBMSKey-value storeTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitephoenix.apache.orgdgraph.iogriddb.netwww.oracle.com/­java/­coherencewww.warp10.io
Technical documentationphoenix.apache.orgdgraph.io/­docsdocs.griddb.netdocs.oracle.com/­en/­middleware/­standalone/­coherencewww.warp10.io/­content/­02_Getting_started
DeveloperApache Software FoundationDgraph Labs, Inc.Toshiba CorporationOracleSenX
Initial release20142016201320072015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.1, August 202214.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++JavaJava
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
LinuxAll OS with a Java VMLinux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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
SQL infoSupport of SQLyesnoSQL92, SQL-like TQL (Toshiba Query Language)nono
APIs and other access methodsJDBCGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JCache
JPA
RESTful HTTP API
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
Server-side scripts infoStored proceduresuser defined functionsnononoyes infoWarpScript
Triggersnonoyesyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Synchronous replication via RaftSource-replica replicationyes, with selectable consistency levelselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at container levelconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
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-tenancyno infoPlanned for future releasesAccess rights for users can be defined per databaseauthentification to access the cache via certificates or http basic authenticationMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
Apache PhoenixDgraphGridDBOracle CoherenceWarp 10
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Apache PhoenixDgraphGridDBOracle CoherenceWarp 10
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