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

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

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGoogle 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 comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Automatically 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 environmentsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelSpatial DBMSDocument storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational 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
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.geomesa.orgcloud.google.com/­datastorewww.ibm.com/­products/­db2www.sap.com/­products/­technology-platform/­sql-anywhere.htmlgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­datastore/­docswww.ibm.com/­docs/­en/­db2help.sap.com/­docs/­SAP_SQL_Anywherewww.xtdb.com/­docs
DeveloperCCRi and othersGoogleIBMSAP infoformerly SybaseJuxt Ltd.
Initial release201420081983 infohost version19922019
Current release5.0.0, May 202412.1, October 201617, July 20151.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial infofree version is availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC and C++Clojure
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
AIX
HP-UX
Linux
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes, 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.nonoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yesyeslimited 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
HTTP 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
Clojure
Java
Server-side scripts infoStored proceduresnousing Google App Engineyesyes, in C/C++, Java, .Net or Perlno
TriggersnoCallbacks using the Google Apps Engineyesyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding infoonly with Windows/Unix/Linux Versionnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-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 methodsyesyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate 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 Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID
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.depending on storage layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess 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-standard

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More resources
GeoMesaGoogle Cloud DatastoreIBM Db2 infoformerly named DB2 or IBM Database 2SAP SQL Anywhere infoformerly called Adaptive Server AnywhereXTDB infoformerly named Crux
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