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DBMS > Brytlyt vs. Hive vs. Ignite vs. Sphinx vs. TerminusDB

System Properties Comparison Brytlyt vs. Hive vs. Ignite vs. Sphinx vs. TerminusDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonSphinx  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLdata warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Open source search engine for searching in data from different sources, e.g. relational databasesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Search engineGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitebrytlyt.iohive.apache.orgignite.apache.orgsphinxsearch.comterminusdb.com
Technical documentationdocs.brytlyt.iocwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docssphinxsearch.com/­docsterminusdb.github.io/­terminusdb/­#
DeveloperBrytlytApache Software Foundation infoinitially developed by FacebookApache Software FoundationSphinx Technologies Inc.DataChemist Ltd.
Initial release20162012201520012018
Current release5.0, August 20233.1.3, April 2022Apache Ignite 2.63.5.1, February 202311.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAJavaC++, Java, .NetC++Prolog, Rust
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.yesno
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLSQL-like query language (SphinxQL)SQL-like query language (WOQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocolOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)noyes
Triggersyesnoyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes (replicated cache)noneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesSecurity Hooks for custom implementationsnoRole-based access control

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More resources
BrytlytHiveIgniteSphinxTerminusDB infoformer name was DataChemist
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