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DBMS > Google Cloud Datastore vs. IBM Db2 vs. SAP SQL Anywhere vs. Transwarp Hippo vs. XTDB

System Properties Comparison Google Cloud Datastore vs. IBM Db2 vs. SAP SQL Anywhere vs. Transwarp Hippo vs. XTDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTranswarp Hippo  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCommon in IBM host environments, 2 different versions for host and Windows/LinuxRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasetsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSVector DBMSDocument store
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.05
Rank#386  Overall
#15  Vector DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitecloud.google.com/­datastorewww.ibm.com/­products/­db2www.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.transwarp.cn/­en/­subproduct/­hippogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcloud.google.com/­datastore/­docswww.ibm.com/­docs/­en/­db2help.sap.com/­docs/­SAP_SQL_Anywherewww.xtdb.com/­docs
DeveloperGoogleIBMSAP infoformerly SybaseJuxt Ltd.
Initial release20081983 infohost version199220232019
Current release12.1, October 201617, July 20151.0, May 20231.19, September 2021
License infoCommercial or Open Sourcecommercialcommercial infofree version is availablecommercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++Clojure
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesVector, Numeric and Stringyes, extensible-data-notation format
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.noyesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like query language (GQL)yesyesnolimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
ADO.NET
HTTP API
JDBC
ODBC
RESTful HTTP APIHTTP REST
JDBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Python
Clojure
Java
Server-side scripts infoStored proceduresusing Google App Engineyesyes, in C/C++, Java, .Net or Perlnono
TriggersCallbacks using the Google Apps Engineyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoonly with Windows/Unix/Linux VersionnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infowith separate tools (MQ, InfoSphere)Source-replica replication infoDatabase mirroringyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole based access control and fine grained access rights

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More resources
Google Cloud DatastoreIBM Db2 infoformerly named DB2 or IBM Database 2SAP SQL Anywhere infoformerly called Adaptive Server AnywhereTranswarp HippoXTDB infoformerly named Crux
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