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DBMS > Apache Phoenix vs. EsgynDB vs. Faircom EDGE vs. SpatiaLite vs. TimesTen

System Properties Comparison Apache Phoenix vs. EsgynDB vs. Faircom EDGE vs. SpatiaLite vs. TimesTen

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEsgynDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsSpatial extension of SQLiteIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Spatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitephoenix.apache.orgwww.esgyn.cnwww.faircom.com/­products/­faircom-edgewww.gaia-gis.it/­fossil/­libspatialite/­indexwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationphoenix.apache.orgdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software FoundationEsgynFairCom CorporationAlessandro FurieriOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20142015197920081998
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019V3, October 20205.0.0, August 202011 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoRestricted, free version availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaANSI C, C++C++
Server operating systemsLinux
Unix
Windows
LinuxAndroid
Linux infoARM, x86
Raspbian
Windows
server-lessAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyesyes
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.nonoyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesyes infoANSI SQL queriesyesyes
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functionsJava Stored Proceduresyes info.Net, JavaScript, C/C++noPL/SQL
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingFile partitioning infoCustomizable business rules for partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersyes infoSynchronous and asynchronous realtime replication based on transaction logsnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes infowhen using SQLyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.nofine grained access rights according to SQL-standard

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More resources
Apache PhoenixEsgynDBFaircom EDGE infoformerly c-treeEDGESpatiaLiteTimesTen
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