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DBMS > AlaSQL vs. CockroachDB vs. Datomic vs. SAP SQL Anywhere vs. VictoriaMetrics

System Properties Comparison AlaSQL vs. CockroachDB vs. Datomic vs. SAP SQL Anywhere vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonCockroachDB  Xexclude from comparisonDatomic  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionJavaScript DBMS libraryCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitealasql.orgwww.cockroachlabs.comwww.datomic.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlvictoriametrics.com
Technical documentationgithub.com/­AlaSQL/­alasqlwww.cockroachlabs.com/­docsdocs.datomic.comhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperAndrey Gershun & Mathias R. WulffCockroach LabsCognitectSAP infoformerly SybaseVictoriaMetrics
Initial release20142015201219922018
Current release24.1.0, May 20241.0.7075, December 202317, July 2015v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache 2.0, commercial license availablecommercial infolimited edition freecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptGoJava, ClojureGo
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
All OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freedynamic schemayesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nononoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes, wire compatible with PostgreSQLnoyesno
APIs and other access methodsJavaScript APIJDBCRESTful HTTP APIADO.NET
HTTP API
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJavaScriptC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Clojure
Java
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infoTransaction Functionsyes, in C/C++, Java, .Net or Perlno
TriggersyesnoBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnone infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using RAFTnone infoBut extensive use of caching in the application peersSource-replica replication infoDatabase mirroringSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlnoRole-based access controlnofine grained access rights according to SQL-standard

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More resources
AlaSQLCockroachDBDatomicSAP SQL Anywhere infoformerly called Adaptive Server AnywhereVictoriaMetrics
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