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DBMS > Atos Standard Common Repository vs. Derby vs. HBase vs. Memgraph vs. Microsoft Azure Data Explorer

System Properties Comparison Atos Standard Common Repository vs. Derby vs. HBase vs. Memgraph vs. Microsoft Azure Data Explorer

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonHBase  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Wide-column store based on Apache Hadoop and on concepts of BigTableAn open source graph database built for real-time streaming and compatible with Neo4jFully managed big data interactive analytics platform
Primary database modelDocument store
Key-value store
Relational DBMSWide column storeGraph DBMSRelational 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
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorydb.apache.org/­derbyhbase.apache.orgmemgraph.comazure.microsoft.com/­services/­data-explorer
Technical documentationdb.apache.org/­derby/­manuals/­index.htmlhbase.apache.org/­book.htmlmemgraph.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperAtos Convergence CreatorsApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by PowersetMemgraph LtdMicrosoft
Initial release20161997200820172019
Current release170310.17.1.0, November 20232.3.4, January 2021cloud service with continuous releases
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache version 2Open Source infoBSL 1.1; commercial license for enterprise edition availablecommercial
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 languageJavaJavaJavaC and C++
Server operating systemsLinuxAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linuxhosted
Data schemeSchema and schema-less with LDAP viewsyesschema-free, schema definition possibleschema-free and schema-optionalFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateoptionalyesoptions to bring your own types, AVROyesyes 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.yesyesnonoyes
Secondary indexesyesyesnoall fields are automatically indexed
SQL infoSupport of SQLnoyesnonoKusto Query Language (KQL), SQL subset
APIs and other access methodsLDAPJDBCJava API
RESTful HTTP API
Thrift
Bolt protocol
Cypher query language
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsJavaC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes infoCoprocessors in JavaYes, possible languages: KQL, Python, R
Triggersyesyesyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingSharding infodynamic graph partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication using RAFTyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDSingle row ACID (across millions of columns)ACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesno
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers, roles and permissionsAzure Active Directory Authentication
More information provided by the system vendor
Atos Standard Common RepositoryDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBHBaseMemgraphMicrosoft Azure Data Explorer
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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Atos Standard Common RepositoryDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBHBaseMemgraphMicrosoft Azure Data Explorer
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