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DBMS > Apache Impala vs. CouchDB vs. Google Cloud Firestore vs. SAP Adaptive Server

System Properties Comparison Apache Impala vs. CouchDB vs. Google Cloud Firestore vs. SAP Adaptive Server

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database modelRelational DBMSDocument storeDocument storeRelational DBMS
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extensionSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score7.85
Rank#51  Overall
#8  Document stores
Score36.31
Rank#25  Overall
#17  Relational DBMS
Websiteimpala.apache.orgcouchdb.apache.orgfirebase.google.com/­products/­firestorewww.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentationimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stablefirebase.google.com/­docs/­firestorehelp.sap.com/­docs/­SAP_ASE
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleSAP, Sybase
Initial release2013200520171987
Current release4.1.0, June 20223.3.3, December 202316.0
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangC and C++
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
hostedAIX
HP-UX
Linux
Solaris
Unix
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononono
Secondary indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Cobol
Java
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceView functions in JavaScriptyes, Firebase Rules & Cloud FunctionsJava and Transact-SQL
Triggersnoyesyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0Shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleyesACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
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.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per databaseAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standard

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More resources
Apache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Google Cloud FirestoreSAP Adaptive Server infoformer name: Sybase ASE
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