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DBMS > Apache Impala vs. PouchDB vs. TimescaleDB vs. Transwarp StellarDB vs. Yaacomo

System Properties Comparison Apache Impala vs. PouchDB vs. TimescaleDB vs. Transwarp StellarDB vs. Yaacomo

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonPouchDB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAnalytic DBMS for HadoopJavaScript DBMS with an API inspired by CouchDBA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA distributed graph DBMS built for enterprise-level graph applicationsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument storeTime Series DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websiteimpala.apache.orgpouchdb.comwww.timescale.comwww.transwarp.cn/­en/­product/­stellardbyaacomo.com
Technical documentationimpala.apache.org/­impala-docs.htmlpouchdb.com/­guidesdocs.timescale.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationTimescaleTranswarpQ2WEB GmbH
Initial release2013201220172009
Current release4.1.0, June 20227.1.1, June 20192.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScriptC
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Android
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.nonoyesno
Secondary indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infofull PostgreSQL SQL syntaxSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
OpenCypherJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJavaScript.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceView functions in JavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeyes, across time and space (hash partitioning) attributeshorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with hot standby and reads on replicas infoSource-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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnofine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
Apache ImpalaPouchDBTimescaleDBTranswarp StellarDBYaacomo
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