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DBMS > Adabas vs. EsgynDB vs. Memcached vs. RDF4J vs. Vertica

System Properties Comparison Adabas vs. EsgynDB vs. Memcached vs. RDF4J vs. Vertica

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonEsgynDB  Xexclude from comparisonMemcached  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionIn-memory key-value store, originally intended for cachingRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelMultivalue DBMSRelational DBMSKey-value storeRDF storeRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.esgyn.cnwww.memcached.orgrdf4j.orgwww.vertica.com
Technical documentationgithub.com/­memcached/­memcached/­wikirdf4j.org/­documentationvertica.com/­documentation
DeveloperSoftware AGEsgynDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.OpenText infopreviously Micro Focus and Hewlett Packard
Initial release19712015200320042005
Current release1.6.25, March 202412.0.3, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD licenseOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaCJavaC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeyesyesschema-freeyes infoRDF SchemasYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonono
Secondary indexesyesyesnoyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayyesnonoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
ADO.NET
JDBC
ODBC
Proprietary protocolJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesNaturalAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Java
PHP
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresin NaturalJava Stored Proceduresnoyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnononoyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingnonenonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication between multi datacentersnone infoRepcached, a Memcached patch, provides this functionallitynoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Adabas infodenotes "adaptable data base"EsgynDBMemcachedRDF4J infoformerly known as SesameVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more

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Adabas infodenotes "adaptable data base"EsgynDBMemcachedRDF4J infoformerly known as SesameVertica infoOpenText™ Vertica™
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