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DBMS > Apache Impala vs. Couchbase vs. Microsoft SQL Server vs. UniData,UniVerse

System Properties Comparison Apache Impala vs. Couchbase vs. Microsoft SQL Server vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonUniData,UniVerse  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 databaseMicrosofts flagship relational DBMSMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSDocument storeRelational DBMSMultivalue 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.06
Rank#39  Overall
#24  Relational DBMS
Score19.15
Rank#36  Overall
#5  Document stores
Score845.81
Rank#3  Overall
#3  Relational DBMS
Score3.93
Rank#89  Overall
#2  Multivalue DBMS
Websiteimpala.apache.orgwww.couchbase.comwww.microsoft.com/­en-us/­sql-serverwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationimpala.apache.org/­impala-docs.htmldocs.couchbase.comlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCouchbase, Inc.MicrosoftRocket Software
Initial release2013201119891985
Current release4.1.0, June 2022Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 2023SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBusiness Source License (BSL 1.1); Commercial licenses also availablecommercial inforestricted free version is availablecommercial
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 ErlangC++C
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesoptional
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.noyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesyesyes
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
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceFunctions and timers in JavaScript and UDFs in Java, Python, SQL++Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersnoyes infovia the TAP protocolyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic Shardingtables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication infoincluding cross data center replication
Source-replica replication
yes, but depending on the SQL-Server EditionSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoconfigurable
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 bucketsyes
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.fine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
Apache ImpalaCouchbase infoOriginally called MembaseMicrosoft SQL ServerUniData,UniVerse
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