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DBMS > Adabas vs. AnzoGraph DB vs. atoti vs. Brytlyt vs. Microsoft Azure Synapse Analytics

System Properties Comparison Adabas vs. AnzoGraph DB vs. atoti vs. Brytlyt vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonatoti  Xexclude from comparisonBrytlyt  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelMultivalue DBMSGraph DBMS
RDF store
Object oriented DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#91  Overall
#1  Multivalue DBMS
Score0.27
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score0.38
Rank#279  Overall
#126  Relational DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlcambridgesemantics.com/­anzographatoti.iobrytlyt.ioazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.atoti.iodocs.brytlyt.iodocs.microsoft.com/­azure/­synapse-analytics
DeveloperSoftware AGCambridge SemanticsActiveViamBrytlytMicrosoft
Initial release1971201820162016
Current release2.3, January 20215.0, August 2023
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercial infofree versions availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxLinux
OS X
Windows
hosted
Data schemeyesSchema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySPARQL and SPARQL* as primary query language. Cypher preview.Multidimensional Expressions (MDX)yesyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesNaturalC++
Java
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
Java
PHP
Server-side scripts infoStored proceduresin Naturaluser defined functions and aggregatesPythonuser defined functions infoin PL/pgSQLTransact SQL
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaAutomatic shardingSharding, horizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication in MPP-ClusterSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users and rolesfine grained access rights according to SQL-standardyes

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More resources
Adabas infodenotes "adaptable data base"AnzoGraph DBatotiBrytlytMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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