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DBMS > Brytlyt vs. GridGain vs. RRDtool vs. TerarkDB

System Properties Comparison Brytlyt vs. GridGain vs. RRDtool vs. TerarkDB

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGridGain  Xexclude from comparisonRRDtool  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLGridGain is an in-memory computing platform, built on Apache IgniteIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score1.70
Rank#136  Overall
#11  Time Series DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitebrytlyt.iowww.gridgain.comoss.oetiker.ch/­rrdtoolgithub.com/­bytedance/­terarkdb
Technical documentationdocs.brytlyt.iowww.gridgain.com/­docs/­index.htmloss.oetiker.ch/­rrdtool/­docbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperBrytlytGridGain Systems, Inc.Tobias OetikerByteDance, originally Terark
Initial release2016200719992016
Current release5.0, August 2023GridGain 8.5.11.8.0, 2022
License infoCommercial or Open Sourcecommercialcommercial, open sourceOpen Source infoGPL V2 and FLOSScommercial inforestricted open source version 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 CUDAJava, C++, .Net, Python, REST, SQLC infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
z/OS
HP-UX
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyno
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 infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesnono
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLnono
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
in-process shared library
Pipes
C++ API
Java API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C++
Java
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)nono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
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 Consistencynone
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access control
Security Hooks for custom implementations
nono

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More resources
BrytlytGridGainRRDtoolTerarkDB
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