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DBMS > Alibaba Cloud Table Store vs. Datomic vs. Google Cloud Spanner vs. Graph Engine vs. OpenEdge

System Properties Comparison Alibaba Cloud Table Store vs. Datomic vs. Google Cloud Spanner vs. Graph Engine vs. OpenEdge

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineApplication development environment with integrated database management system
Primary database modelWide column storeRelational DBMSRelational DBMSGraph DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.datomic.comcloud.google.com/­spannerwww.graphengine.iowww.progress.com/­openedge
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.datomic.comcloud.google.com/­spanner/­docswww.graphengine.io/­docs/­manualdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperAlibabaCognitectGoogleMicrosoftProgress Software Corporation
Initial release20162012201720101984
Current release1.0.6735, June 2023OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Clojure.NET and C
Server operating systemshostedAll OS with a Java VMhosted.NETAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyesyesyes
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.nonononoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyes infoQuery statements complying to ANSI 2011noyes infoclose to SQL 92
APIs and other access methodsHTTP APIRESTful HTTP APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesJava
Python
Clojure
Java
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnoyesyes
TriggersnoBy using transaction functionsnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersShardinghorizontal partitioninghorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersMulti-source replication with 3 replicas for regional instances.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACID infoStrict serializable isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentnoyesno
User concepts infoAccess controlAccess rights based on subaccounts and tokensnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users and groups

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More resources
Alibaba Cloud Table StoreDatomicGoogle Cloud SpannerGraph Engine infoformer name: TrinityOpenEdge
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