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DBMS > AgensGraph vs. Bangdb vs. Databricks vs. Sequoiadb

System Properties Comparison AgensGraph vs. Bangdb vs. Databricks vs. Sequoiadb

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBangdb  Xexclude from comparisonDatabricks  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLConverged and high performance database for device data, events, time series, document and graphThe 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.NewSQL database with distributed OLTP and SQL
Primary database modelGraph DBMS
Relational DBMS
Document store
Graph DBMS
Time Series DBMS
Document store
Relational DBMS
Document store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitebitnine.net/­agensgraphbangdb.comwww.databricks.comwww.sequoiadb.com
Technical documentationbitnine.net/­documentationdocs.bangdb.comdocs.databricks.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperBitnine Global Inc.Sachin Sinha, BangDBDatabricksSequoiadb Ltd.
Initial release2016201220132013
Current release2.1, December 2018BangDB 2.0, October 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSD 3commercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, C++C++
Server operating systemsLinux
OS X
Windows
LinuxhostedLinux
Data schemedepending on used data modelschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyes infooid, date, timestamp, binary, regex
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.nonoyesno
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLyesSQL like support with command line toolwith Databricks SQLSQL-like query language
APIs and other access methodsCypher Query Language
JDBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Java
Python
Python
R
Scala
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesnouser defined functions and aggregatesJavaScript
Triggersnoyes, Notifications (with Streaming only)no
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor, Knob for CAP (enterprise version only)yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modenono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)simple password-based access control
More information provided by the system vendor
AgensGraphBangdbDatabricksSequoiadb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AgensGraphBangdbDatabricksSequoiadb
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