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DBMS > Databricks vs. GeoMesa vs. Ingres vs. TigerGraph

System Properties Comparison Databricks vs. GeoMesa vs. Ingres vs. TigerGraph

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGeoMesa  Xexclude from comparisonIngres  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Well established RDBMSA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Relational DBMS
Spatial DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.databricks.comwww.geomesa.orgwww.actian.com/­databases/­ingreswww.tigergraph.com
Technical documentationdocs.databricks.comwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.actian.com/­ingresdocs.tigergraph.com
DeveloperDatabricksCCRi and othersActian Corporation
Initial release201320141974 infooriginally developed at University Berkely in early 1970s2017
Current release4.0.5, February 202411.2, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaCC++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyesSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerhorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerIngres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layernono
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
DatabricksGeoMesaIngresTigerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGeoMesaIngresTigerGraph
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