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DBMS > Google Cloud Bigtable vs. H2GIS vs. SAP Adaptive Server vs. SQL.JS vs. Tkrzw

System Properties Comparison Google Cloud Bigtable vs. H2GIS vs. SAP Adaptive Server vs. SQL.JS vs. Tkrzw

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonH2GIS  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSQL.JS  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.Spatial extension of H2The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSPort of SQLite to JavaScriptA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value store
Wide column store
Spatial DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMSSpatial 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
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score35.09
Rank#25  Overall
#17  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitecloud.google.com/­bigtablewww.h2gis.orgwww.sap.com/­products/­technology-platform/­sybase-ase.htmlsql.js.orgdbmx.net/­tkrzw
Technical documentationcloud.google.com/­bigtable/­docswww.h2gis.org/­docs/­homehelp.sap.com/­docs/­SAP_ASEsql.js.org/­documentation/­index.html
DeveloperGoogleCNRSSAP, SybaseAlon Zakai infoenhancements implemented by othersMikio Hirabayashi
Initial release20152013198720122020
Current release16.00.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0commercialOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++JavaScriptC++
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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.nonononono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyesyesyes infoSQL-92 is not fully supportedno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JavaScript API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaC
C++
Cobol
Java
Java
Perl
PHP
Python
JavaScriptC++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes infobased on H2Java and Transact-SQLnono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infobased on H2Multi-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infobased on H2fine grained access rights according to SQL-standardnono

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More resources
Google Cloud BigtableH2GISSAP Adaptive Server infoformer name: Sybase ASESQL.JSTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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