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DBMS > Blueflood vs. Brytlyt vs. DolphinDB vs. Kinetica vs. Titan

System Properties Comparison Blueflood vs. Brytlyt vs. DolphinDB vs. Kinetica vs. Titan

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonBrytlyt  Xexclude from comparisonDolphinDB  Xexclude from comparisonKinetica  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 TimeSeries DBMS based on CassandraScalable 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.Fully vectorized database across both GPUs and CPUsTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMSGraph DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websiteblueflood.iobrytlyt.iowww.dolphindb.comwww.kinetica.comgithub.com/­thinkaurelius/­titan
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.brytlyt.iodocs.dolphindb.cn/­en/­help200/­index.htmldocs.kinetica.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperRackspaceBrytlytDolphinDB, IncKineticaAurelius, owned by DataStax
Initial release20132016201820122012
Current release5.0, August 2023v2.00.4, January 20227.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree community version availablecommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAC++C, C++Java
Server operating systemsLinux
OS X
Linux
OS X
Windows
Linux
Windows
LinuxLinux
OS X
Unix
Windows
Data schemepredefined schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsHTTP RESTADO.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
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyesuser defined functionsyes
Triggersnoyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioningShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesnoACID
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.noyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlnofine grained access rights according to SQL-standardAdministrators, Users, GroupsAccess rights for users and roles on table levelUser authentification and security via Rexster Graph Server

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More resources
BluefloodBrytlytDolphinDBKineticaTitan
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