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DBMS > Blueflood vs. HugeGraph vs. Snowflake vs. Spark SQL vs. Speedb

System Properties Comparison Blueflood vs. HugeGraph vs. Snowflake vs. Spark SQL vs. Speedb

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonHugeGraph  Xexclude from comparisonSnowflake  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraA fast-speed and highly-scalable Graph DBMSCloud-based data warehousing service for structured and semi-structured dataSpark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelTime Series DBMSGraph DBMSRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.21
Rank#315  Overall
#45  Key-value stores
Websiteblueflood.iogithub.com/­hugegraph
hugegraph.apache.org
www.snowflake.comspark.apache.org/­sqlwww.speedb.io
Technical documentationgithub.com/­rax-maas/­blueflood/­wikihugegraph.apache.org/­docsdocs.snowflake.net/­manuals/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRackspaceBaiduSnowflake Computing Inc.Apache Software FoundationSpeedb
Initial release20132018201420142020
Current release0.93.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScalaC++
Server operating systemsLinux
OS X
Linux
macOS
Unix
hostedLinux
OS X
Windows
Linux
Windows
Data schemepredefined schemeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesnono
Secondary indexesnoyes infoalso supports composite index and range indexnono
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statementsno
APIs and other access methodsHTTP RESTJava API
RESTful HTTP API
TinkerPop Gremlin
CLI Client
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGroovy
Java
Python
JavaScript (Node.js)
Python
Java
Python
R
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsuser defined functionsnono
Triggersnonono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrayes infodepending on used storage backend, e.g. Cassandra and HBaseyesyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infodepending on used storage backend, e.g. Cassandra and HBaseyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonoyes
User concepts infoAccess controlnoUsers, roles and permissionsUsers with fine-grained authorization concept, user roles and pluggable authenticationnono
More information provided by the system vendor
BluefloodHugeGraphSnowflakeSpark SQLSpeedb
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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More resources
BluefloodHugeGraphSnowflakeSpark SQLSpeedb
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