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DBMS > Blueflood vs. Ignite vs. Kinetica vs. Rockset vs. Spark SQL

System Properties Comparison Blueflood vs. Ignite vs. Kinetica vs. Rockset vs. Spark SQL

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonIgnite  Xexclude from comparisonKinetica  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Fully vectorized database across both GPUs and CPUsA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Relational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteblueflood.ioignite.apache.orgwww.kinetica.comrockset.comspark.apache.org/­sql
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiapacheignite.readme.io/­docsdocs.kinetica.comdocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRackspaceApache Software FoundationKineticaRocksetApache Software Foundation
Initial release20132015201220192014
Current releaseApache Ignite 2.67.1, August 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetC, C++C++Scala
Server operating systemsLinux
OS X
Linux
OS X
Solaris
Windows
LinuxhostedLinux
OS X
Windows
Data schemepredefined schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesdynamic typingyes
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.noyesnono infoingestion from XML files supportedno
Secondary indexesnoyesyesall fields are automatically indexedno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsRead-only SQL queries, including JOINsSQL-like DML and DDL statements
APIs and other access methodsHTTP RESTHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
HTTP RESTJDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)user defined functionsnono
Triggersnoyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes (replicated cache)Source-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlnoSecurity Hooks for custom implementationsAccess rights for users and roles on table levelAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
BluefloodIgniteKineticaRocksetSpark SQL
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