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DBMS > Blazegraph vs. Hazelcast vs. JSqlDb vs. Microsoft Azure Data Explorer vs. Sqrrl

System Properties Comparison Blazegraph vs. Hazelcast vs. JSqlDb vs. Microsoft Azure Data Explorer vs. Sqrrl

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonHazelcast  Xexclude from comparisonJSqlDb  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonSqrrl  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A widely adopted in-memory data gridJavaScript Query Language Database, stores JavaScript objects and primitivesFully managed big data interactive analytics platformAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelGraph DBMS
RDF store
Key-value storeDocument store
Object oriented DBMS
Relational DBMS infocolumn orientedDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator, FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function, distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#189  Overall
#15  Graph DBMS
#8  RDF stores
Score9.16
Rank#44  Overall
#5  Key-value stores
Score0.00
Rank#342  Overall
#47  Document stores
#21  Object oriented DBMS
Score2.75
Rank#89  Overall
#45  Relational DBMS
Websiteblazegraph.comhazelcast.comjsqldb.orgazure.microsoft.com/­services/­data-explorersqrrl.com
Technical documentationwiki.blazegraph.comhazelcast.org/­documentationdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperBlazegraphHazelcastKonrad von BackstromMicrosoftAmazon infooriginally Sqrrl Data, Inc.
Initial release20062008201820192012
Current release2.1.5, March 20194.0, February 20200.8, December 2018cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache Version 2; commercial licenses availableOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
macOS
Windows
hostedLinux
Data schemeschema-freeschema-freeschema-freeFixed schema with schema-less datatypes (dynamic)schema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesnoyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-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.yes infothe object must implement a serialization strategynoyes
Secondary indexesyesyesnoall fields are automatically indexedyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languagenoKusto Query Language (KQL), SQL subsetno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JCache
JPA
Memcached protocol
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaScript.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesyes infoEvent Listeners, Executor Servicesfunctions in JavaScriptYes, possible languages: KQL, Python, Rno
Triggersnoyes infoEventsnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoImplicit feature of the cloud serviceSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Mapnoneyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyes infoRelationships in Graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Role-based access controlAzure Active Directory AuthenticationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
BlazegraphHazelcastJSqlDbMicrosoft Azure Data ExplorerSqrrl
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
Azure Data Explorer is a fast and highly scalable data exploration service for log...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Kusto Query Language (innovative query language, optimized for high performance data...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
IoT applications IoT devices generate billions of sensor readings. Normalizing and...
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Microsoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» more
Market metricsAzure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more
News

Blazegraph 2.1.4 Release
29 August 2016

Blazegraph 2.1.2 Release
18 June 2016

Blazegraph 2.1.1 Release!
9 June 2016

Blazegraph 2.1.0 Release!
8 April 2016

Blazegraph 2.0.0 Release!
22 December 2015

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BlazegraphHazelcastJSqlDbMicrosoft Azure Data ExplorerSqrrl
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