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DBMS > AgensGraph vs. Amazon Redshift vs. Databricks vs. Kinetica

System Properties Comparison AgensGraph vs. Amazon Redshift vs. Databricks vs. Kinetica

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonDatabricks  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLLarge scale data warehouse service for use with business intelligence toolsThe 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.Fully vectorized database across both GPUs and CPUs
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series 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
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitebitnine.net/­agensgraphaws.amazon.com/­redshiftwww.databricks.comwww.kinetica.com
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­redshiftdocs.databricks.comdocs.kinetica.com
DeveloperBitnine Global Inc.Amazon (based on PostgreSQL)DatabricksKinetica
Initial release2016201220132012
Current release2.1, December 20187.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCC, C++
Server operating systemsLinux
OS X
Windows
hostedhostedLinux
Data schemedepending on used data modelyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesrestrictedyesyes
SQL infoSupport of SQLyesyes infodoes not fully support an SQL-standardwith Databricks SQLSQL-like DML and DDL statements
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
All languages supporting JDBC/ODBCPython
R
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functions infoin Pythonuser defined functions and aggregatesuser defined functions
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes infoinformational only, not enforced by the systemyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.noyesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles on table level
More information provided by the system vendor
AgensGraphAmazon RedshiftDatabricksKinetica
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AgensGraphAmazon RedshiftDatabricksKinetica
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