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DBMS > Cassandra vs. GeoSpock vs. Ignite vs. jBASE vs. Spark SQL

System Properties Comparison Cassandra vs. GeoSpock vs. Ignite vs. jBASE vs. Spark SQL

Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonGeoSpock  Xexclude from comparisonIgnite  Xexclude from comparisonjBASE  Xexclude from comparisonSpark SQL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessSpatial and temporal data processing engine for extreme data scaleApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A robust multi-value DBMS comprising development tools and middlewareSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelWide column storeRelational DBMSKey-value store
Relational DBMS
Multivalue DBMSRelational DBMS
Secondary database modelsVector DBMS infostarting with release V5Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.89
Rank#12  Overall
#1  Wide column stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitecassandra.apache.orggeospock.comignite.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasespark.apache.org/­sql
Technical documentationcassandra.apache.org/­doc/­latestapacheignite.readme.io/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9spark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookGeoSpockApache Software FoundationRocket Software (formerly Zumasys)Apache Software Foundation
Initial release2008201519912014
Current release4.1.3, July 20232.0, September 2019Apache Ignite 2.65.73.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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 languageJavaJava, JavascriptC++, Java, .NetScala
Server operating systemsBSD
Linux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesoptionalyes
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.nonoyesyesno
Secondary indexesrestricted infoonly equality queries, not always the best performing solutiontemporal, categoricalyesno
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)ANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDLEmbedded SQL for jBASE in BASICSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Basic
Jabbascript
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)yesno
Triggersyesnoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Automatic shardingShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes (replicated cache)yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACIDACIDno
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.nonoyesyesno
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users can be defined per tableSecurity Hooks for custom implementationsAccess rights can be defined down to the item levelno
More information provided by the system vendor
CassandraGeoSpockIgnitejBASESpark SQL
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.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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