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DBMS > Databricks vs. EXASOL vs. GeoSpock vs. Manticore Search vs. Rockset

System Properties Comparison Databricks vs. EXASOL vs. GeoSpock vs. Manticore Search vs. Rockset

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEXASOL  Xexclude from comparisonGeoSpock  Xexclude from comparisonManticore Search  Xexclude from comparisonRockset  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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Spatial and temporal data processing engine for extreme data scaleMulti-storage database for search, including full-text search.A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSSearch engineDocument store
Secondary database modelsTime Series DBMSTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score0.79
Rank#211  Overall
#35  Document stores
Websitewww.databricks.comwww.exasol.comgeospock.commanticoresearch.comrockset.com
Technical documentationdocs.databricks.comwww.exasol.com/­resourcesmanual.manticoresearch.comdocs.rockset.com
DeveloperDatabricksExasolGeoSpockManticore SoftwareRockset
Initial release2013200020172019
Current release2.0, September 20196.0, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++C++
Server operating systemshostedhostedFreeBSD
Linux
macOS
Windows
hosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleandynamic typing
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.yesnonoCan index from XMLno infoingestion from XML files supported
Secondary indexesyesyestemporal, categoricalyes infofull-text index on all search fieldsall fields are automatically indexed
SQL infoSupport of SQLwith Databricks SQLyesANSI SQL for query only (using Presto)SQL-like query languageRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
JDBCBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST
Supported programming languagesPython
R
Scala
Java
Lua
Python
R
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsnouser defined functionsno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportedAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera libraryyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per tablenoAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
DatabricksEXASOLGeoSpockManticore SearchRockset
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEXASOLGeoSpockManticore SearchRockset
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