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DBMS > Databricks vs. GridGain vs. Sphinx vs. TerminusDB

System Properties Comparison Databricks vs. GridGain vs. Sphinx vs. TerminusDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGridGain  Xexclude from comparisonSphinx  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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.GridGain is an in-memory computing platform, built on Apache IgniteOpen source search engine for searching in data from different sources, e.g. relational databasesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Search engineGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.74
Rank#19  Overall
#3  Document stores
#13  Relational DBMS
Score2.38
Rank#124  Overall
#24  Key-value stores
#61  Relational DBMS
Score6.74
Rank#61  Overall
#8  Search engines
Score0.38
Rank#284  Overall
#25  Graph DBMS
Websitedatabricks.comwww.gridgain.comsphinxsearch.comterminusdb.com
Technical documentationdatabricks.com/­documentationwww.gridgain.com/­docs/­latestsphinxsearch.com/­docsterminusdb.github.io/­terminusdb/­#
DeveloperDatabricksGridGain Systems, Inc.Sphinx Technologies Inc.DataChemist Ltd.
Initial release2013200720012018
Current releaseGridGain 8.5.13.4.1, July 202110.1.4, August 2022
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++Prolog, Rust
Server operating systemshostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesnoyes
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.yesyesno
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLwith Databricks SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (SphinxQL)SQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocolOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesPython
R
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes (compute grid and cache interceptors can be used instead)noyes
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)noneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnoRole-based access control

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More resources
DatabricksGridGainSphinxTerminusDB infoformer name was DataChemist
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