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DBMS > Apache Impala vs. Google Cloud Spanner vs. MaxDB vs. mSQL vs. PouchDB

System Properties Comparison Apache Impala vs. Google Cloud Spanner vs. MaxDB vs. mSQL vs. PouchDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A robust and reliable RDBMS optimized to run all major SAP solutionsmSQL (Mini SQL) is a simple and lightweight RDBMSJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websiteimpala.apache.orgcloud.google.com/­spannermaxdb.sap.comhughestech.com.au/­products/­msqlpouchdb.com
Technical documentationimpala.apache.org/­impala-docs.htmlcloud.google.com/­spanner/­docsmaxdb.sap.com/­documentationpouchdb.com/­guides
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleSAP, acquired from Software AG (Adabas-D) in 1997Hughes TechnologiesApache Software Foundation
Initial release20132017198419942012
Current release4.1.0, June 20227.9.10.12, February 20244.4, October 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infoLimited community edition freecommercial infofree licenses can be providedOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++CJavaScript
Server operating systemsLinuxhostedAIX
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonononono
Secondary indexesyesyesyesyesyes infovia views
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoQuery statements complying to ANSI 2011yesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsJDBC
ODBC
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
.Net
C#
Java
Perl
PHP
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesnoView functions in JavaScript
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication with 3 replicas for regional instances.Source-replica replicationnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infousing Google Cloud Dataflownonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonononoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardnono

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More resources
Apache ImpalaGoogle Cloud SpannerMaxDB infoformerly named Adabas-DmSQL infoMini SQLPouchDB
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