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DBMS > Apache Phoenix vs. GigaSpaces vs. OpenEdge vs. TimesTen vs. Typesense

System Properties Comparison Apache Phoenix vs. GigaSpaces vs. OpenEdge vs. TimesTen vs. Typesense

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGigaSpaces  Xexclude from comparisonOpenEdge  Xexclude from comparisonTimesTen  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsApplication development environment with integrated database management systemIn-Memory RDBMS compatible to OracleA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMSSearch engine
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.79
Rank#210  Overall
#14  Search engines
Websitephoenix.apache.orgwww.gigaspaces.comwww.progress.com/­openedgewww.oracle.com/­database/­technologies/­related/­timesten.htmltypesense.org
Technical documentationphoenix.apache.orgdocs.gigaspaces.com/­latest/­landing.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.oracle.com/­database/­timesten-18.1typesense.org/­docs
DeveloperApache Software FoundationGigaspaces TechnologiesProgress Software CorporationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20142000198419982015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201915.5, September 2020OpenEdge 12.2, March 202011 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC++
Server operating systemsLinux
Unix
Windows
Linux
macOS
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesschema-free infopre-defined schema optional
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.nono infoXML can be used for describing objects metadatayesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-99 for query and DML statementsyes infoclose to SQL 92yesno
APIs and other access methodsJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C++
Java
Python
Scala
Progress proprietary ABL (Advanced Business Language)C
C++
Java
PL/SQL
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresuser defined functionsyesyesPL/SQLno
Triggersnoyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infosince Version 11.4none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationMulti-source replication
Source-replica replication
Multi-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole-based access controlUsers and groupsfine grained access rights according to SQL-standard

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More resources
Apache PhoenixGigaSpacesOpenEdgeTimesTenTypesense
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