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DBMS > Brytlyt vs. CockroachDB vs. HBase vs. RRDtool

System Properties Comparison Brytlyt vs. CockroachDB vs. HBase vs. RRDtool

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonCockroachDB  Xexclude from comparisonHBase  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Wide-column store based on Apache Hadoop and on concepts of BigTableIndustry 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.
Primary database modelRelational DBMSRelational DBMSWide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitebrytlyt.iowww.cockroachlabs.comhbase.apache.orgoss.oetiker.ch/­rrdtool
Technical documentationdocs.brytlyt.iowww.cockroachlabs.com/­docshbase.apache.org/­book.htmloss.oetiker.ch/­rrdtool/­doc
DeveloperBrytlytCockroach LabsApache Software Foundation infoApache top-level project, originally developed by PowersetTobias Oetiker
Initial release2016201520081999
Current release5.0, August 202324.1.0, May 20242.3.4, January 20211.8.0, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoApache version 2Open Source infoGPL V2 and FLOSS
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 CUDAGoJavaC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
Linux
Unix
Windows infousing Cygwin
HP-UX
Linux
Data schemeyesdynamic schemaschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVRONumeric data only
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 infoExporting into and restoring from XML files possible
Secondary indexesyesyesnono
SQL infoSupport of SQLyesyes, wire compatible with PostgreSQLnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCJava API
RESTful HTTP API
Thrift
in-process shared library
Pipes
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Groovy
Java
PHP
Python
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
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyes infoCoprocessors in Javano
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using RAFTMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistencynone
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemon
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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