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DBMS > Blueflood vs. Firebolt vs. GridDB vs. HugeGraph vs. SAP SQL Anywhere

System Properties Comparison Blueflood vs. Firebolt vs. GridDB vs. HugeGraph vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonFirebolt  Xexclude from comparisonGridDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseScalable in-memory time series database optimized for IoT and Big DataA fast-speed and highly-scalable Graph DBMSRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSGraph DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websiteblueflood.iowww.firebolt.iogriddb.netgithub.com/­hugegraph
hugegraph.apache.org
www.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.firebolt.iodocs.griddb.nethugegraph.apache.org/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperRackspaceFirebolt Analytics Inc.Toshiba CorporationBaiduSAP infoformerly Sybase
Initial release20132020201320181992
Current release5.1, August 20220.917, July 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux
OS X
hostedLinuxLinux
macOS
Unix
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemepredefined schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.nononoyes
Secondary indexesnoyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoyesSQL92, SQL-like TQL (Toshiba Query Language)noyes
APIs and other access methodsHTTP REST.Net
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesGo
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Groovy
Java
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononoasynchronous Gremlin script jobsyes, in C/C++, Java, .Net or Perl
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandradepending on storage layerSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate consistency within container, eventual consistency across containersEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per databaseUsers, roles and permissionsfine grained access rights according to SQL-standard
More information provided by the system vendor
BluefloodFireboltGridDBHugeGraphSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
BluefloodFireboltGridDBHugeGraphSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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