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DBMS > GeoMesa vs. Google Cloud Spanner vs. OrientDB vs. Spark SQL vs. Transbase

System Properties Comparison GeoMesa vs. Google Cloud Spanner vs. OrientDB vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonOrientDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A 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.Multi-model DBMS (Document, Graph, Key/Value)Spark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelSpatial DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitewww.geomesa.orgcloud.google.com/­spannerorientdb.orgspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­spanner/­docswww.orientdb.com/­docs/­last/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperCCRi and othersGoogleOrientDB LTD; CallidusCloud; SAPApache Software FoundationTransaction Software GmbH
Initial release20142017201020141987
Current release5.0.0, May 20243.2.29, March 20243.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache version 2Open Source infoApache 2.0commercial infofree development 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 languageScalaJavaScalaC and C++
Server operating systemshostedAll OS with a Java JDK (>= JDK 6)Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesyes
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.nonononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011SQL-like query language, no joinsSQL-like DML and DDL statementsyes
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnonoJava, Javascriptnoyes
TriggersnonoHooksnoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication with 3 replicas for regional instances.Multi-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflowno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes inforelationship in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernonono
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)Access rights for users and roles; record level security configurablenofine grained access rights according to SQL-standard

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More resources
GeoMesaGoogle Cloud SpannerOrientDBSpark SQLTransbase
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