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DBMS > Cassandra vs. FoundationDB vs. HEAVY.AI vs. Kinetica vs. Solr

System Properties Comparison Cassandra vs. FoundationDB vs. HEAVY.AI vs. Kinetica vs. Solr

Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonFoundationDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparisonSolr  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessOrdered key-value store. Core features are complimented by layers.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFully vectorized database across both GPUs and CPUsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelWide column storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSSearch engine
Secondary database modelsVector DBMS infostarting with release V5Spatial DBMSSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.89
Rank#12  Overall
#1  Wide column stores
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitecassandra.apache.orggithub.com/­apple/­foundationdbgithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.comsolr.apache.org
Technical documentationcassandra.apache.org/­doc/­latestapple.github.io/­foundationdbdocs.heavy.aidocs.kinetica.comsolr.apache.org/­resources.html
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookFoundationDBHEAVY.AI, Inc.KineticaApache Software Foundation
Initial release20082013201620122006
Current release4.1.3, July 20236.2.28, November 20205.10, January 20227.1, August 20219.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaC++C++ and CUDAC, C++Java
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Windows
LinuxLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-free infosome layers support schemasyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyesyes infosupports customizable data types and automatic 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.nononoyes
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionnonoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)supported in specific SQL layer onlyyesSQL-like DML and DDL statementsSolr Parallel SQL Interface
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoin SQL-layer onlynouser defined functionsJava plugins
Triggersyesnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding infoRound robinShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyesMulti-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Linearizable consistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDnonooptimistic locking
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 RAMyes
User concepts infoAccess controlAccess rights for users can be defined per objectnofine grained access rights according to SQL-standardAccess rights for users and roles on table levelyes
More information provided by the system vendor
CassandraFoundationDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KineticaSolr
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metricsCassandra is used by 40% of the Fortune 100.
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Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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More resources
CassandraFoundationDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KineticaSolr
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