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DBMS > Databricks vs. Dgraph vs. GigaSpaces vs. HBase vs. JanusGraph

System Properties Comparison Databricks vs. Dgraph vs. GigaSpaces vs. HBase vs. JanusGraph

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDgraph  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHBase  Xexclude from comparisonJanusGraph infosuccessor of Titan  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 DBMSHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsWide-column store based on Apache Hadoop and on concepts of BigTableA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelDocument store
Relational DBMS
Graph DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Wide column storeGraph DBMS
Secondary database modelsGraph DBMS
Search engine
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
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Websitewww.databricks.comdgraph.iowww.gigaspaces.comhbase.apache.orgjanusgraph.org
Technical documentationdocs.databricks.comdgraph.io/­docsdocs.gigaspaces.com/­latest/­landing.htmlhbase.apache.org/­book.htmldocs.janusgraph.org
DeveloperDatabricksDgraph Labs, Inc.Gigaspaces TechnologiesApache Software Foundation infoApache top-level project, originally developed by PowersetLinux Foundation; originally developed as Titan by Aurelius
Initial release20132016200020082017
Current release15.5, September 20202.3.4, January 20210.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoApache version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++, .NetJavaJava
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
Linux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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 infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-99 for query and DML statementsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesyes infoCoprocessors in Javayes
Triggersnoyes, event driven architectureyesyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via RaftMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyesyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlno infoPlanned for future releasesRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUser authentification and security via Rexster Graph Server
More information provided by the system vendor
DatabricksDgraphGigaSpacesHBaseJanusGraph infosuccessor of Titan
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDgraphGigaSpacesHBaseJanusGraph infosuccessor of Titan
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