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DBMS > Brytlyt vs. Ignite vs. Lovefield vs. Sphinx

System Properties Comparison Brytlyt vs. Ignite vs. Lovefield vs. Sphinx

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonIgnite  Xexclude from comparisonLovefield  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Embeddable relational database for web apps written in pure JavaScriptOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitebrytlyt.ioignite.apache.orggoogle.github.io/­lovefieldsphinxsearch.com
Technical documentationdocs.brytlyt.ioapacheignite.readme.io/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsphinxsearch.com/­docs
DeveloperBrytlytApache Software FoundationGoogleSphinx Technologies Inc.
Initial release2016201520142001
Current release5.0, August 2023Apache Ignite 2.62.1.12, February 20173.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++, Java, .NetJavaScriptC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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 SQLyesANSI-99 for query and DML statements, subset of DDLSQL-like query language infovia JavaScript builder patternSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes (compute grid and cache interceptors can be used instead)nono
Triggersyesyes (cache interceptors and events)Using read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsnono

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More resources
BrytlytIgniteLovefieldSphinx
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