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DBMS > Altibase vs. Google Cloud Bigtable vs. PlanetScale vs. TimesTen

System Properties Comparison Altibase vs. Google Cloud Bigtable vs. PlanetScale vs. TimesTen

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonPlanetScale  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Scalable, distributed, serverless MySQL database platform built on top of VitessAn 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 DBMSKey-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.87
Rank#200  Overall
#93  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score1.09
Rank#178  Overall
#82  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitealtibase.comcloud.google.com/­bigtableplanetscale.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualscloud.google.com/­bigtable/­docsplanetscale.com/­docsdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperAltibaseGooglePlanetScaleOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release1999201520201998
Current releasev7.3, 2023, August 2023Release 22.1
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemsAIX
HP-UX
Linux
hostedDocker
Linux
macOS
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLANSI SQL-92noyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
MySQL protocol
ODBC
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++
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyes infoproprietary syntaxPL/SQL
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
AltibaseGoogle Cloud BigtablePlanetScaleTimesTen
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