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DBMS > Databricks vs. Dgraph vs. Ingres vs. Newts

System Properties Comparison Databricks vs. Dgraph vs. Ingres vs. Newts

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDgraph  Xexclude from comparisonIngres  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionThe 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.Distributed and scalable native Graph DBMSWell established RDBMSTime Series DBMS based on Cassandra
Primary database modelDocument store
Relational DBMS
Graph DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websitewww.databricks.comdgraph.iowww.actian.com/­databases/­ingresopennms.github.io/­newts
Technical documentationdocs.databricks.comdgraph.io/­docsdocs.actian.com/­ingresgithub.com/­OpenNMS/­newts/­wiki
DeveloperDatabricksDgraph Labs, Inc.Actian CorporationOpenNMS Group
Initial release201320161974 infooriginally developed at University Berkely in early 1970s2014
Current release11.2, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCJava
Server operating systemshostedLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
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.yesnono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLnoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP REST
Java API
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via RaftIngres Replicatorselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
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.nonono
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardno
More information provided by the system vendor
DatabricksDgraphIngresNewts
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDgraphIngresNewts
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