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DBMS > Apache Phoenix vs. EXASOL vs. FileMaker vs. GBase vs. IRONdb

System Properties Comparison Apache Phoenix vs. EXASOL vs. FileMaker vs. GBase vs. IRONdb

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEXASOL  Xexclude from comparisonFileMaker  Xexclude from comparisonGBase  Xexclude from comparisonIRONdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Websitephoenix.apache.orgwww.exasol.comwww.claris.com/­filemakerwww.gbase.cnwww.circonus.com/solutions/time-series-database/
Technical documentationphoenix.apache.orgwww.exasol.com/­resourceswww.claris.com/­resources/­documentationdocs.circonus.com/irondb/category/getting-started
DeveloperApache Software FoundationExasolClaris infoa subsidiary of AppleGeneral Data Technology Co., Ltd.Circonus LLC.
Initial release20142000198320042017
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201919.4.1, November 2021GBase 8a, GBase 8s, GBase 8cV0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, PythonC and C++
Server operating systemsLinux
Unix
Windows
iOS infoclient part only
Linux
OS X
Windows
LinuxLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infotext, numeric, histograms
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 pluginsStandard with numerous extensionsSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsJDBC.Net
JDBC
ODBC
WebSocket
Filemaker WebDirect
JDBC
ODBC
ADO.NET
C API
JDBC
ODBC
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java
Lua
Python
R
PHPC#.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyesuser defined functionsyes, in Lua
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning (by range, list and hash) and vertical partitioningAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication, warm standby infosince Version 14yesconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
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.yesyesno
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 servicesyesno

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More resources
Apache PhoenixEXASOLFileMakerGBaseIRONdb
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