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DBMS > Datomic vs. RocksDB vs. Solr

System Properties Comparison Datomic vs. RocksDB vs. Solr

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonRocksDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSKey-value storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.13
Rank#100  Overall
#50  Relational DBMS
Score3.84
Rank#88  Overall
#15  Key-value stores
Score52.48
Rank#20  Overall
#3  Search engines
Websitewww.datomic.comrocksdb.orglucene.apache.org/­solr
Technical documentationdocs.datomic.comgithub.com/­facebook/­rocksdb/­wikilucene.apache.org/­solr/­resources.html
DeveloperCognitectFacebook, Inc.Apache Software Foundation
Initial release201220132006
Current release0.9.5951, July 20196.13.3, October 20208.6.3, October 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSDOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++Java
Server operating systemsAll OS with a Java VMAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesnoyes 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.nonoyes
Secondary indexesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP APIC++ API
Java API
Java API
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
C++
Java
.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 FunctionsnoJava plugins
TriggersBy using transaction functionsnoyes 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 peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes 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.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnonoyes

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DatomicRocksDBSolr
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