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DBMS > Apache Druid vs. Blazegraph vs. Datastax Enterprise

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

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBlazegraph  Xexclude from comparisonDatastax Enterprise  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.DataStax 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.
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMS
RDF store
Wide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.33
Rank#99  Overall
#51  Relational DBMS
#7  Time Series DBMS
Score0.79
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score7.07
Rank#57  Overall
#4  Wide column stores
Websitedruid.apache.orgblazegraph.comwww.datastax.com/­products/­datastax-enterprise
Technical documentationdruid.apache.org/­docs/­latest/­designwiki.blazegraph.comdocs.datastax.com
DeveloperApache Software Foundation and contributorsBlazegraphDataStax
Initial release201220062011
Current release29.0.0, February 20242.1.5, March 20196.8, April 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoextended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaJava
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Linux
OS X
Data schemeyes infoschema-less columns are supportedschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingSPARQL is used as query languageSQL-like DML and DDL statements (CQL); Spark SQL
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesno
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesconfigurable replication factor, datacenter aware, advanced replication for edge computing
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynoyes infoRelationships in Graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoAtomicity and isolation are supported for single operations
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.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users can be defined per object
More information provided by the system vendor
Apache DruidBlazegraphDatastax Enterprise
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
Apache DruidBlazegraphDatastax Enterprise
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