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DBMS > Databricks vs. EventStoreDB vs. GeoSpock vs. HarperDB vs. UniData,UniVerse

System Properties Comparison Databricks vs. EventStoreDB vs. GeoSpock vs. HarperDB vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonHarperDB  Xexclude from comparisonUniData,UniVerse  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.Industrial-strength, open-source database solution built from the ground up for event sourcing.Spatial and temporal data processing engine for extreme data scaleUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument store
Relational DBMS
Event StoreRelational DBMSDocument storeMultivalue DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.60
Rank#244  Overall
#38  Document stores
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitewww.databricks.comwww.eventstore.comgeospock.comwww.harperdb.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.databricks.comdevelopers.eventstore.comdocs.harperdb.io/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperDatabricksEvent Store LimitedGeoSpockHarperDBRocket Software
Initial release2013201220171985
Current release21.2, February 20212.0, September 20193.1, August 2021
License infoCommercial or Open SourcecommercialOpen Sourcecommercialcommercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptNode.jsC
Server operating systemshostedLinux
Windows
hostedLinux
OS X
AIX
HP-UX
Linux
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesoptional
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
Secondary indexesyestemporal, categoricalyesyes
SQL infoSupport of SQLwith Databricks SQLANSI SQL for query only (using Presto)SQL-like data manipulation statementsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesPython
R
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoCustom Functions infosince release 3.1yes
Triggersnonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definedSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users and rolesAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
DatabricksEventStoreDBGeoSpockHarperDBUniData,UniVerse
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksEventStoreDBGeoSpockHarperDBUniData,UniVerse
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