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DBMS > Apache Druid vs. Datastax Enterprise vs. TigerGraph

System Properties Comparison Apache Druid vs. Datastax Enterprise vs. TigerGraph

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMS
Time Series DBMS
Wide column storeGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.67
Rank#107  Overall
#53  Relational DBMS
#7  Time Series DBMS
Score9.04
Rank#46  Overall
#4  Wide column stores
Score1.40
Rank#147  Overall
#12  Graph DBMS
Websitedruid.apache.orgwww.datastax.com/­products/­datastax-enterprisewww.tigergraph.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.datastax.comdocs.tigergraph.com
DeveloperApache Software Foundation and contributorsDataStax
Initial release201220112017
Current release0.20.0, October 20206.8, April 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Linux
Data schemeyes infoschema-less columns are supportedschema-freeyes
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.nonono
Secondary indexesyesyes
SQL infoSupport of SQLSQL for queryingSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query language (GSQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnonoyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesconfigurable replication factor, datacenter aware, advanced replication for edge computing
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per objectRole-based access control
More information provided by the system vendor
Apache DruidDatastax EnterpriseTigerGraph
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
TigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Four out of the top five global banks use TigerGraph for real-time fraud detection....
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
ANALYST RESEARCH Nov 2020: TigerGraph Named A Leader For Graph Data Platforms - TigerGraph...
» more
Licensing and pricing modelsAnnual subscription
» more
Try TigerGraph for Free in the Cloud or On Prem https://www.tigergraph.com/get-tigergraph/...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache DruidDatastax EnterpriseTigerGraph
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