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DBMS > Apache Impala vs. Cassandra vs. GigaSpaces vs. Microsoft SQL Server vs. ToroDB

System Properties Comparison Apache Impala vs. Cassandra vs. GigaSpaces vs. Microsoft SQL Server vs. ToroDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCassandra  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsMicrosofts flagship relational DBMSA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSWide column storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSDocument store
Secondary database modelsDocument storeVector DBMS infostarting with release V5Graph DBMS
Search engine
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score103.86
Rank#12  Overall
#1  Wide column stores
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Websiteimpala.apache.orgcassandra.apache.orgwww.gigaspaces.comwww.microsoft.com/­en-us/­sql-servergithub.com/­torodb/­server
Technical documentationimpala.apache.org/­impala-docs.htmlcassandra.apache.org/­doc/­latestdocs.gigaspaces.com/­latest/­landing.htmllearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top level project, originally developped by FacebookGigaspaces TechnologiesMicrosoft8Kdata
Initial release20132008200019892016
Current release4.1.0, June 20224.1.3, July 202315.5, September 2020SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2Open Source infoApache Version 2; Commercial licenses availablecommercial inforestricted free version is availableOpen Source infoAGPL-V3
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 languageC++JavaJava, C++, .NetC++Java
Server operating systemsLinuxBSD
Linux
OS X
Windows
Linux
macOS
Solaris
Windows
Linux
Windows
All OS with a Java 7 VM
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, integer, double, boolean, date, object_id
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.nonono infoXML can be used for describing objects metadatayesno
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solutionyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like SELECT, DML and DDL statements (CQL)SQL-99 for query and DML statementsyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
C++
Java
Python
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyesyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"Shardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes, but depending on the SQL-Server EditionSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACIDACIDno
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.nonoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per objectRole-based access controlfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
Apache ImpalaCassandraGigaSpacesMicrosoft SQL ServerToroDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
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...
» more
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