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DBMS > Databricks vs. EsgynDB vs. GeoSpock vs. Graphite

System Properties Comparison Databricks vs. EsgynDB vs. GeoSpock vs. Graphite

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonGraphite  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be 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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpatial and temporal data processing engine for extreme data scaleData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called Whisper
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime 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
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Websitewww.databricks.comwww.esgyn.cngeospock.comgithub.com/­graphite-project/­graphite-web
Technical documentationdocs.databricks.comgraphite.readthedocs.io
DeveloperDatabricksEsgynGeoSpockChris Davis
Initial release201320152006
Current release2.0, September 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJava, JavascriptPython
Server operating systemshostedLinuxhostedLinux
Unix
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data only
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.yesnonono
Secondary indexesyesyestemporal, categoricalno
SQL infoSupport of SQLwith Databricks SQLyesANSI SQL for query only (using Presto)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBCHTTP API
Sockets
Supported programming languagesPython
R
Scala
All languages supporting JDBC/ODBC/ADO.NetJavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Proceduresnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolocking
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tableno
More information provided by the system vendor
DatabricksEsgynDBGeoSpockGraphite
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEsgynDBGeoSpockGraphite
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