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DBMS > Brytlyt vs. DolphinDB vs. Hypertable vs. Splice Machine vs. XTDB

System Properties Comparison Brytlyt vs. DolphinDB vs. Hypertable vs. Splice Machine vs. XTDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDolphinDB  Xexclude from comparisonHypertable  Xexclude from comparisonSplice Machine  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.An open source BigTable implementation based on distributed file systems such as HadoopOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSTime Series DBMSWide column storeRelational DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitebrytlyt.iowww.dolphindb.comsplicemachine.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.brytlyt.iodocs.dolphindb.cn/­en/­help200/­index.htmlsplicemachine.com/­how-it-workswww.xtdb.com/­docs
DeveloperBrytlytDolphinDB, IncHypertable Inc.Splice MachineJuxt Ltd.
Initial release20162018200920142019
Current release5.0, August 2023v2.00.4, January 20220.9.8.11, March 20163.1, March 20211.19, September 2021
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++C++JavaClojure
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes, extensible-data-notation format
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.nono
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLyesSQL-like query languagenoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
C++ API
Thrift
JDBC
Native Spark Datasource
ODBC
HTTP REST
JDBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyesnoyes infoJavano
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factor on file system levelMulti-source replication
Source-replica replication
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAdministrators, Users, GroupsnoAccess rights for users, groups and roles according to SQL-standard

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More resources
BrytlytDolphinDBHypertableSplice MachineXTDB infoformerly named Crux
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