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DBMS > Blueflood vs. Databricks vs. Graph Engine vs. Oracle NoSQL vs. TerarkDB

System Properties Comparison Blueflood vs. Databricks vs. Graph Engine vs. Oracle NoSQL vs. TerarkDB

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDatabricks  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelTime Series DBMSDocument store
Relational DBMS
Graph DBMS
Key-value store
Document store
Key-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteblueflood.iowww.databricks.comwww.graphengine.iowww.oracle.com/­database/­nosql/­technologies/­nosqlgithub.com/­bytedance/­terarkdb
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.databricks.comwww.graphengine.io/­docs/­manualdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperRackspaceDatabricksMicrosoftOracleByteDance, originally Terark
Initial release20132013201020112016
Current release23.3, December 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMIT LicenseOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CJavaC++
Server operating systemsLinux
OS X
hosted.NETLinux
Solaris SPARC/x86
Data schemepredefined schemeFlexible Schema (defined schema, partial schema, schema free)yesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.schema-free
Typing infopredefined data types such as float or dateyesyesoptionalno
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.noyesnonono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnowith Databricks SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIRESTful HTTP APIC++ API
Java API
Supported programming languagesPython
R
Scala
C#
C++
F#
Visual Basic
C
C#
Go
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infooff heap cacheyes
User concepts infoAccess controlnoAccess rights for users and rolesno
More information provided by the system vendor
BluefloodDatabricksGraph Engine infoformer name: TrinityOracle NoSQLTerarkDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
BluefloodDatabricksGraph Engine infoformer name: TrinityOracle NoSQLTerarkDB
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