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DBMS > Datomic vs. QuestDB vs. RocksDB vs. SAP SQL Anywhere vs. Solr

System Properties Comparison Datomic vs. QuestDB vs. RocksDB vs. SAP SQL Anywhere vs. Solr

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonQuestDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA high performance open source SQL database for time series dataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSTime Series DBMSKey-value storeRelational DBMSSearch engine
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.05
Rank#115  Overall
#56  Relational DBMS
Score0.45
Rank#240  Overall
#15  Time Series DBMS
Score3.09
Rank#90  Overall
#14  Key-value stores
Score5.38
Rank#63  Overall
#35  Relational DBMS
Score51.19
Rank#20  Overall
#3  Search engines
Websitewww.datomic.comquestdb.iorocksdb.orgwww.sap.com/­products/­sql-anywhere.htmllucene.apache.org/­solr
Technical documentationdocs.datomic.comquestdb.io/­docs/­introductiongithub.com/­facebook/­rocksdb/­wikihelp.sap.com/­sql-anywherelucene.apache.org/­solr/­resources.html
DeveloperCognitectQuestDB LimitedFacebook, Inc.SAP infoformerly SybaseApache Software Foundation
Initial release20122014201319922006
Current release0.9.5951, July 20196.15.5 , February 202117, July 20158.8.2, April 2021
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoBSDcommercialOpen Source infoApache Version 2
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 languageJava, ClojureJavaC++Java
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyes infoschema-free via InfluxDB Line Protocolschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesnoyesyes infosupports customizable data types and automatic typing
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.nononoyesyes
Secondary indexesyesnonoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languagenoyesSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
C++ API
Java API
ADO.NET
HTTP API
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++
Java
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonoyes, in C/C++, Java, .Net or PerlJava plugins
TriggersBy using transaction functionsnonoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning (by timestamps)nonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersConfigurable consistency for N replicasnoneSource-replica replication infoDatabase mirroringyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesyesACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes infothrough memory mapped filesyesyesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardyes
More information provided by the system vendor
DatomicQuestDBRocksDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSolr
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more

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DatomicQuestDBRocksDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSolr
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