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DBMS > Apache Impala vs. Couchbase vs. Datastax Enterprise vs. Microsoft SQL Server

System Properties Comparison Apache Impala vs. Couchbase vs. Datastax Enterprise vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Microsofts flagship relational DBMS
Primary database modelRelational DBMSDocument storeWide column storeRelational DBMS
Secondary database modelsDocument storeKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Document store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score17.30
Rank#36  Overall
#5  Document stores
Score5.80
Rank#60  Overall
#4  Wide column stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Websiteimpala.apache.orgwww.couchbase.comwww.datastax.com/­products/­datastax-enterprisewww.microsoft.com/­en-us/­sql-server
Technical documentationimpala.apache.org/­impala-docs.htmldocs.couchbase.comdocs.datastax.comlearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCouchbase, Inc.DataStaxMicrosoft
Initial release2013201120111989
Current release4.1.0, June 2022Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20236.8, April 2020SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBusiness Source License (BSL 1.1); Commercial licenses also availablecommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++, Go and ErlangJavaC++
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesSQL-like DML and DDL statements (CQL); Spark SQLyes
APIs and other access methodsJDBC
ODBC
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
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-reduceFunctions and timers in JavaScript and UDFs in Java, Python, SQL++noTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyes infovia the TAP protocolyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic ShardingSharding infono "single point of failure"tables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication infoincluding cross data center replication
Source-replica replication
configurable replication factor, datacenter aware, advanced replication for edge computingyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoEphemeral bucketsyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.Access rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaCouchbase infoOriginally called MembaseDatastax EnterpriseMicrosoft SQL Server
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
Apache ImpalaCouchbase infoOriginally called MembaseDatastax EnterpriseMicrosoft SQL Server
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