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DBMS > atoti vs. Ehcache vs. GraphDB vs. Microsoft Azure Data Explorer

System Properties Comparison atoti vs. Ehcache vs. GraphDB vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonEhcache  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A widely adopted Java cache with tiered storage optionsEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Fully managed big data interactive analytics platform
Primary database modelObject oriented DBMSKey-value storeGraph DBMS
RDF store
Relational DBMS infocolumn oriented
Secondary database modelsDocument 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)
Spatial DBMS
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
Score0.56
Rank#249  Overall
#10  Object oriented DBMS
Score5.55
Rank#69  Overall
#8  Key-value stores
Score2.91
Rank#106  Overall
#8  Graph DBMS
#4  RDF stores
Score5.82
Rank#65  Overall
#37  Relational DBMS
Websiteatoti.iowww.ehcache.orgwww.ontotext.comazure.microsoft.com/­services/­data-explorer
Technical documentationdocs.atoti.iowww.ehcache.org/­documentationgraphdb.ontotext.com/­documentationdocs.microsoft.com/­en-us/­azure/­data-explorer
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperActiveViamTerracotta Inc, owned by Software AGOntotextMicrosoft
Initial release200920002019
Current release3.10.0, March 202210.4, October 2023cloud service with continuous releases
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2; commercial licenses availablecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsAll OS with a Java VMAll OS with a Java VM
Linux
OS X
Windows
hosted
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesyesyes 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.nonoyes
Secondary indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesall fields are automatically indexed
SQL infoSupport of SQLMultidimensional Expressions (MDX)nostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCKusto Query Language (KQL), SQL subset
APIs and other access methodsJCacheGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesJava.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresPythonnowell-defined plugin interfaces; JavaScript server-side extensibilityYes, possible languages: KQL, Python, R
Triggersyes infoCache Event Listenersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoby using Terracotta ServernoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Azure Active Directory Authentication
More information provided by the system vendor
atotiEhcacheGraphDB infoformer name: OWLIMMicrosoft Azure Data Explorer
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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