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DBMS > Brytlyt vs. Databricks vs. RethinkDB vs. TerarkDB vs. Tigris

System Properties Comparison Brytlyt vs. Databricks vs. RethinkDB vs. TerarkDB vs. Tigris

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDatabricks  Xexclude from comparisonRethinkDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.DBMS for the Web with a mechanism to push updated query results to applications in realtime.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSDocument store
Relational DBMS
Document storeKey-value storeDocument store
Key-value store
Search engine
Time Series DBMS
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
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitebrytlyt.iowww.databricks.comrethinkdb.comgithub.com/­bytedance/­terarkdbwww.tigrisdata.com
Technical documentationdocs.brytlyt.iodocs.databricks.comrethinkdb.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcwww.tigrisdata.com/­docs
DeveloperBrytlytDatabricksThe Linux Foundation infosince July 2017ByteDance, originally TerarkTigris Data, Inc.
Initial release20162013200920162022
Current release5.0, August 20232.4.1, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercial inforestricted open source version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++C++
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
Linux
macOS
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometrynoyes
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.yesnonono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyeswith Databricks SQLnonono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
CLI Client
gRPC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Python
R
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C++
Java
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functions and aggregatesnono
TriggersyesClient-side triggers through changefeedsnono
Partitioning methods infoMethods for storing different data on different nodesSharding inforange basednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-document operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousers and table-level permissionsnoAccess rights for users and roles
More information provided by the system vendor
BrytlytDatabricksRethinkDBTerarkDBTigris
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BrytlytDatabricksRethinkDBTerarkDBTigris
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