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DBMS > Google Cloud Bigtable vs. PlanetScale vs. SAP Adaptive Server vs. Transbase

System Properties Comparison Google Cloud Bigtable vs. PlanetScale vs. SAP Adaptive Server vs. Transbase

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonPlanetScale  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionGoogle'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 VitessThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelKey-value store
Wide column store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score35.09
Rank#25  Overall
#17  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitecloud.google.com/­bigtableplanetscale.comwww.sap.com/­products/­technology-platform/­sybase-ase.htmlwww.transaction.de/­en/­products/­transbase.html
Technical documentationcloud.google.com/­bigtable/­docsplanetscale.com/­docshelp.sap.com/­docs/­SAP_ASEwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperGooglePlanetScaleSAP, SybaseTransaction Software GmbH
Initial release2015202019871987
Current release16.0Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++C and C++
Server operating systemshostedDocker
Linux
macOS
AIX
HP-UX
Linux
Solaris
Unix
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
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++
Cobol
Java
Java
Perl
PHP
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxJava and Transact-SQLyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID at shard levelACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess 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-standardfine grained access rights according to SQL-standard

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More resources
Google Cloud BigtablePlanetScaleSAP Adaptive Server infoformer name: Sybase ASETransbase
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