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DBMS > Databricks vs. GBase vs. GeoMesa vs. Hyprcubd

System Properties Comparison Databricks vs. GBase vs. GeoMesa vs. Hyprcubd

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGBase  Xexclude from comparisonGeoMesa  Xexclude from comparisonHyprcubd  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
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.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Serverless Time Series DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSSpatial DBMSTime Series 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
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Websitewww.databricks.comwww.gbase.cnwww.geomesa.orghyprcubd.com (offline)
Technical documentationdocs.databricks.comwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperDatabricksGeneral Data Technology Co., Ltd.CCRi and othersHyprcubd, Inc.
Initial release201320042014
Current releaseGBase 8a, GBase 8s, GBase 8c4.0.5, February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonScalaGo
Server operating systemshostedLinuxhosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, string
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.yesyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLStandard with numerous extensionsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
gRPC (https)
Supported programming languagesPython
R
Scala
C#
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningdepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on storage layerEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
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 layerno
User concepts infoAccess controlyesyes infodepending on the DBMS used for storagetoken access
More information provided by the system vendor
DatabricksGBaseGeoMesaHyprcubd
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGBaseGeoMesaHyprcubd
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