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DBMS > Brytlyt vs. HEAVY.AI vs. Lovefield vs. Memgraph vs. Sphinx

System Properties Comparison Brytlyt vs. HEAVY.AI vs. Lovefield vs. Memgraph vs. Sphinx

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparisonMemgraph  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable relational database for web apps written in pure JavaScriptAn open source graph database built for real-time streaming and compatible with Neo4jOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitebrytlyt.iogithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldmemgraph.comsphinxsearch.com
Technical documentationdocs.brytlyt.iodocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmemgraph.com/­docssphinxsearch.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperBrytlytHEAVY.AI, Inc.GoogleMemgraph LtdSphinx Technologies Inc.
Initial release20162016201420172001
Current release5.0, August 20235.10, January 20222.1.12, February 20173.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoGPL version 2, commercial licence available
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 CUDAC++ and CUDAJavaScriptC and C++C++
Server operating systemsLinux
OS X
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesyesSQL-like query language infovia JavaScript builder patternnoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
Vega
Bolt protocol
Cypher query language
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
JavaScript.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnonono
TriggersyesnoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneSharding infodynamic graph partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationnoneMulti-source replication using RAFTnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes 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 MemoryDByes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoUsers, roles and permissionsno
More information provided by the system vendor
BrytlytHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldMemgraphSphinx
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
BrytlytHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldMemgraphSphinx
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