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DBMS > Apache Phoenix vs. EXASOL vs. FileMaker vs. GridGain vs. RocksDB

System Properties Comparison Apache Phoenix vs. EXASOL vs. FileMaker vs. GridGain vs. RocksDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEXASOL  Xexclude from comparisonFileMaker  Xexclude from comparisonGridGain  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.FileMaker is a cross-platform RDBMS that includes a GUI frontend.GridGain is an in-memory computing platform, built on Apache IgniteEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSRelational DBMSRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitephoenix.apache.orgwww.exasol.comwww.claris.com/­filemakerwww.gridgain.comrocksdb.org
Technical documentationphoenix.apache.orgwww.exasol.com/­resourceswww.claris.com/­resources/­documentationwww.gridgain.com/­docs/­index.htmlgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software FoundationExasolClaris infoa subsidiary of AppleGridGain Systems, Inc.Facebook, Inc.
Initial release20142000198320072013
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201919.4.1, November 2021GridGain 8.5.19.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial, open sourceOpen Source infoBSD
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, C++, .Net, Python, REST, SQLC++
Server operating systemsLinux
Unix
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
z/OS
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyes infoA http query request can return the data in XML formatyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyesyes infovia pluginsANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBC.Net
JDBC
ODBC
WebSocket
Filemaker WebDirect
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
C++ API
Java API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java
Lua
Python
R
PHPC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyesyes (compute grid and cache interceptors can be used instead)no
Triggersnoyesyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication, warm standby infosince Version 14yes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes infoHadoop integrationnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 rights for users, groups and roles according to SQL-standardsimple rights management via user accounts and connection to external directory servicesRole-based access control
Security Hooks for custom implementations
no

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Apache PhoenixEXASOLFileMakerGridGainRocksDB
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