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DBMS > Altibase vs. Apache Phoenix vs. Google Cloud Bigtable vs. TimesTen

System Properties Comparison Altibase vs. Apache Phoenix vs. Google Cloud Bigtable vs. TimesTen

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSA scale-out RDBMS with evolutionary schema built on Apache HBaseGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.87
Rank#200  Overall
#93  Relational DBMS
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitealtibase.comphoenix.apache.orgcloud.google.com/­bigtablewww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsphoenix.apache.orgcloud.google.com/­bigtable/­docsdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperAltibaseApache Software FoundationGoogleOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release1999201420151998
Current releasev7.3, 2023, August 20235.0-HBase2, July 2018 and 4.15-HBase1, December 2019Release 22.1
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsAIX
HP-UX
Linux
Linux
Unix
Windows
hostedIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI SQL-92yesnoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC
C++
Java
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsuser defined functionsnoPL/SQL
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Internal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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AltibaseApache PhoenixGoogle Cloud BigtableTimesTen
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