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DBMS > Adabas vs. AlaSQL vs. Amazon Neptune vs. Apache Druid vs. VictoriaMetrics

System Properties Comparison Adabas vs. AlaSQL vs. Amazon Neptune vs. Apache Druid vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAlaSQL  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonApache Druid  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformJavaScript DBMS libraryFast, reliable graph database built for the cloudOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelMultivalue DBMSDocument store
Relational DBMS
Graph DBMS
RDF store
Relational DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlalasql.orgaws.amazon.com/­neptunedruid.apache.orgvictoriametrics.com
Technical documentationgithub.com/­AlaSQL/­alasqlaws.amazon.com/­neptune/­developer-resourcesdruid.apache.org/­docs/­latest/­designdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperSoftware AGAndrey Gershun & Mathias R. WulffAmazonApache Software Foundation and contributorsVictoriaMetrics
Initial release19712014201720122018
Current release29.0.1, April 2024v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT-LicensecommercialOpen Source infoApache license v2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaGo
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
server-less, requires a JavaScript environment (browser, Node.js)hostedLinux
OS X
Unix
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeschema-freeyes infoschema-less columns are supported
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayClose to SQL99, but no user access control, stored procedures and host language bindings.noSQL for queryingno
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JavaScript APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
RESTful HTTP/JSON API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesNaturalJavaScriptC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Server-side scripts infoStored proceduresin Naturalnononono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanonenoneSharding infomanual/auto, time-based
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatornoneMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yes, via HDFS, S3 or other storage enginesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoonly for local storage and DOM-storageACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)noAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

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More resources
Adabas infodenotes "adaptable data base"AlaSQLAmazon NeptuneApache DruidVictoriaMetrics
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