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DBMS > Apache Druid vs. JanusGraph vs. Memgraph vs. Netezza

System Properties Comparison Apache Druid vs. JanusGraph vs. Memgraph vs. Netezza

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMemgraph  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017An open source graph database built for real-time streaming and compatible with Neo4jData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score1.85
Rank#134  Overall
#12  Graph DBMS
Score2.91
Rank#94  Overall
#7  Graph DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Websitedruid.apache.orgjanusgraph.orgmemgraph.comwww.ibm.com/­products/­netezza
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.janusgraph.orgmemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software Foundation and contributorsLinux Foundation; originally developed as Titan by AureliusMemgraph LtdIBM
Initial release2012201720172000
Current release30.0.0, June 20241.0.0, October 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoBSL 1.1; commercial license for enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Unix
Windows
LinuxLinux infoincluded in appliance
Data schemeyes infoschema-less columns are supportedyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingnonoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Bolt protocol
Cypher query language
JDBC
ODBC
OLE DB
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Clojure
Java
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoyesyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesMulti-source replication using RAFTSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUser authentification and security via Rexster Graph ServerUsers, roles and permissionsUsers with fine-grained authorization concept
More information provided by the system vendor
Apache DruidJanusGraph infosuccessor of TitanMemgraphNetezza infoAlso called PureData System for Analytics by IBM
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Apache DruidJanusGraph infosuccessor of TitanMemgraphNetezza infoAlso called PureData System for Analytics by IBM
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