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DBMS > Databricks vs. TigerGraph vs. TinkerGraph vs. UniData,UniVerse

System Properties Comparison Databricks vs. TigerGraph vs. TinkerGraph vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonTigerGraph  Xexclude from comparisonTinkerGraph  Xexclude from comparisonUniData,UniVerse  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.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument store
Relational DBMS
Graph DBMSGraph DBMSMultivalue 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
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitewww.databricks.comwww.tigergraph.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.databricks.comdocs.tigergraph.comdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperDatabricksRocket Software
Initial release2013201720091985
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC
Server operating systemshostedLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesoptional
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
Secondary indexesyesnoyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query language (GSQL)noyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
TinkerPop 3Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesPython
R
Scala
C++
Java
Groovy
Java
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnoyes
Triggersnonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRole-based access controlnoAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
DatabricksTigerGraphTinkerGraphUniData,UniVerse
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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