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DBMS > Firebolt vs. GridGain vs. LeanXcale vs. Oracle Rdb

System Properties Comparison Firebolt vs. GridGain vs. LeanXcale vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonGridGain  Xexclude from comparisonLeanXcale  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseGridGain is an in-memory computing platform, built on Apache IgniteA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitewww.firebolt.iowww.gridgain.comwww.leanxcale.comwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdocs.firebolt.iowww.gridgain.com/­docs/­index.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperFirebolt Analytics Inc.GridGain Systems, Inc.LeanXcaleOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2020200720151984
Current releaseGridGain 8.5.17.4.1.1, 2021
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
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++, .Net
Server operating systemshostedLinux
OS X
Solaris
Windows
HP Open VMS
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLyes infothrough Apache Derbyyes
APIs and other access methods.Net
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesGo
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C
Java
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)
Triggersnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes (replicated cache)
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlSecurity Hooks for custom implementations

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More resources
FireboltGridGainLeanXcaleOracle Rdb
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