DB-EngineseXtremeDB high availability featuresEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AnzoGraph DB vs. Hazelcast vs. Heroic vs. Linter vs. Microsoft Azure Data Explorer

System Properties Comparison AnzoGraph DB vs. Hazelcast vs. Heroic vs. Linter vs. Microsoft Azure Data Explorer

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonHazelcast  Xexclude from comparisonHeroic  Xexclude from comparisonLinter  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA widely adopted in-memory data gridTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchRDBMS for high security requirementsFully managed big data interactive analytics platform
Primary database modelGraph DBMS
RDF store
Key-value storeTime Series DBMSRelational DBMSRelational DBMS infocolumn oriented
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
Score0.18
Rank#286  Overall
#25  Graph DBMS
#13  RDF stores
Score9.77
Rank#43  Overall
#5  Key-value stores
Score0.51
Rank#230  Overall
#14  Time Series DBMS
Score0.01
Rank#341  Overall
#138  Relational DBMS
Score4.20
Rank#80  Overall
#43  Relational DBMS
Websitewww.cambridgesemantics.com/­anzographhazelcast.comspotify.github.io/­heroic/­#!/­indexlinter.ru/­enazure.microsoft.com/­services/­data-explorer
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmhazelcast.org/­imdg/­docsspotify.github.io/­heroic/­#!/­docs/­overviewdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperCambridge SemanticsHazelcastSpotifyrelex.ru/­enMicrosoft
Initial release20182008201419902019
Current release2.2, August 20204.1, November 2020cloud service with continuous releases
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++
Server operating systemsLinuxAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hosted
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyesFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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.noyes infothe object must implement a serialization strategynonoyes
Secondary indexesnoyesyes infovia Elasticsearchyesall fields are automatically indexed
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query languagenoyesKusto Query Language (KQL), SQL subset
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JCache
JPA
Memcached protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesC++
Java
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoEvent Listeners, Executor Servicesnoyes infoproprietary syntax with the possibility to convert from PL/SQLYes, possible languages: KQL, Python, R
Triggersnoyes infoEventsnoyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes infoReplicated MapyesSource-replica replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlfine grained access rights according to SQL-standardAzure Active Directory Authentication
More information provided by the system vendor
AnzoGraph DBHazelcastHeroicLinterMicrosoft Azure Data Explorer
Specific characteristicsAnzoGraph DB is a massively parallel processing (MPP) native graph database built...
» more
Hazelcast 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 advantagesAnzoGraph DB’s flexible data model and analytical capabilities not only let you load...
» more
Hazelcast 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 scenariosDevelopers can use AnzoGraph DB to build and execute data warehouse-style BI analytics...
» more
Hazelcast 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 customersAnzograph DB has customers in biotech, pharma, financial services and other verticals.
» more
Hazelcast 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 modelsAnzoGraph DB is offered in a free edition , free for commercial use for workloads...
» more
Hazelcast provides both open source and commercial software. The open source offering...
» more

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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AnzoGraph DBHazelcastHeroicLinterMicrosoft Azure Data Explorer
Recent citations in the news

Cambridge Semantics Announces Major Upgrades to Its Award-Winning AnzoGraph® DB, Including Free Edition for Commercial Use
23 January 2020, Business Wire

Cambridge Semantics Introduces Geospatial Analytics within its Award-Winning AnzoGraph® DB
18 June 2020, PR Web

Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access
23 January 2020, Solutions Review

Cambridge Semantics Unveils AnzoGraph DB with Geospatial Analytics
19 June 2020, Solutions Review

AnzoGraph review: A graph database for deep analytics
15 April 2019, InfoWorld

provided by Google News

Hazelcast Expands, Adds Executives for Accelerated Growth
18 November 2020, Yahoo Finance

Optane PMem 'dramatically outperforms' rival SCMs, says Hazelcast
18 November 2020, Blocks and Files

Hazelcast Advances Leadership, Lowers Barrier of Adoption to In-Memory Digital Integration Hubs
9 September 2020, PRNewswire

Hazelcast Adds SQL Support in Latest Upgrade -- ADTmag
17 September 2020, ADT Magazine

Hazelcast Cloud Enterprise Streamlines Application Modernization Projects Utilizing Multi-Cloud Architectures
19 August 2020, PRNewswire

provided by Google News

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

Azure Data Explorer gets new engine, numerous enhancements and Synapse integration
14 October 2020, ZDNet

AMD Boosts Microsoft Azure Data Explorer Performance
16 October 2020, SDxCentral

Azure Data Explorer gets Synapse integration and other enhancements
15 October 2020, EnterpriseTalk

AMD EPYC Processors Power Microsoft Azure Data Explorer, Offers Users 30 Percent Better Performance
15 October 2020, HPCwire

AMD releases Azure Data Explorer PaaS solution
19 October 2020, ChannelLife Australia

provided by Google News

Job opportunities

Senior Sales Engineers (Central/West Coast)
TigerGraph, Redwood City, CA

Senior DevOps Engineer
Cambridge Semantics, Boston, MA

Java Developers
Nithya Information Systems, Ann Arbor, MI

Java Developers
Alethix LLC, Scott AFB, IL

Site Reliability Engineer - Production Support
JPMorgan Chase Bank, N.A., Plano, TX

Software Engineering
JPMorgan Chase Bank, N.A., Tampa, FL

Assistant Vice President, Engineer
Deutsche Bank, Cary, NC

Data Engineer - Minecraft
Microsoft, Redmond, WA

Azure Data Engineer
Clerysys Inc, Remote

Power BI Developer
Pegasys Information Technologies, Redmond, WA

Finance Manager
Microsoft, Redmond, WA

Software Design Engineer
Microsoft, Redmond, WA

jobs by Indeed




Share this page

Featured Products

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Present your product here