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DBMS > Brytlyt vs. HBase vs. PouchDB vs. TimesTen

System Properties Comparison Brytlyt vs. HBase vs. PouchDB vs. TimesTen

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonHBase  Xexclude from comparisonPouchDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLWide-column store based on Apache Hadoop and on concepts of BigTableJavaScript DBMS with an API inspired by CouchDBIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSWide column storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#279  Overall
#126  Relational DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Score2.35
Rank#116  Overall
#22  Document stores
Score1.35
Rank#165  Overall
#75  Relational DBMS
Websitebrytlyt.iohbase.apache.orgpouchdb.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.brytlyt.iohbase.apache.org/­book.htmlpouchdb.com/­guidesdocs.oracle.com/­database/­timesten-18.1
DeveloperBrytlytApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2016200820121998
Current release5.0, August 20232.3.4, January 20217.1.1, June 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAJavaJavaScript
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js)AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyes
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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesnoyes infovia viewsyes
SQL infoSupport of SQLyesnonoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScriptC
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes infoCoprocessors in JavaView functions in JavaScriptPL/SQL
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnofine grained access rights according to SQL-standard

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BrytlytHBasePouchDBTimesTen
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