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DBMS > Brytlyt vs. GeoMesa vs. Microsoft SQL Server vs. TerarkDB vs. Titan

System Properties Comparison Brytlyt vs. GeoMesa vs. Microsoft SQL Server vs. TerarkDB vs. Titan

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTerarkDB  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Microsofts flagship relational DBMSA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSSpatial DBMSRelational DBMSKey-value storeGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#279  Overall
#126  Relational DBMS
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score0.04
Rank#377  Overall
#58  Key-value stores
Websitebrytlyt.iowww.geomesa.orgwww.microsoft.com/­en-us/­sql-servergithub.com/­bytedance/­terarkdbgithub.com/­thinkaurelius/­titan
Technical documentationdocs.brytlyt.iowww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-US/­sql/­sql-serverbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcgithub.com/­thinkaurelius/­titan/­wiki
DeveloperBrytlytCCRi and othersMicrosoftByteDance, originally TerarkAurelius, owned by DataStax
Initial release20162014198920162012
Current release5.0, August 20234.0.5, February 2024SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercial inforestricted free version is availablecommercial inforestricted open source version availableOpen Source infoApache license, version 2.0
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 CUDAScalaC++C++Java
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyesschema-freeyes
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.noyesno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesnoyesnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
C++ API
Java API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++
Java
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanoyes
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layertables can be distributed across several files (horizontal partitioning); sharding through federationnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on storage layeryes, but depending on the SQL-Server Editionnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes infoRelationships in graph
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 persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardnoUser authentification and security via Rexster Graph Server

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More resources
BrytlytGeoMesaMicrosoft SQL ServerTerarkDBTitan
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