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DBMS > Cachelot.io vs. Datomic vs. Geode vs. RocksDB vs. TypeDB

System Properties Comparison Cachelot.io vs. Datomic vs. Geode vs. RocksDB vs. TypeDB

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonDatomic  Xexclude from comparisonGeode  Xexclude from comparisonRocksDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionIn-memory caching systemDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesEmbeddable persistent key-value store optimized for fast storage (flash and RAM)TypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primary database modelKey-value storeRelational DBMSKey-value storeKey-value storeGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#61  Key-value stores
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.51
Rank#147  Overall
#25  Key-value stores
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.65
Rank#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Websitecachelot.iowww.datomic.comgeode.apache.orgrocksdb.orgtypedb.com
Technical documentationdocs.datomic.comgeode.apache.org/­docsgithub.com/­facebook/­rocksdb/­wikitypedb.com/­docs
DeveloperCognitectOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Facebook, Inc.Vaticle
Initial release20152012200220132016
Current release1.0.7180, July 20241.1, February 20179.4.0, June 20242.28.3, June 2024
License infoCommercial or Open SourceOpen Source infoSimplified BSD Licensecommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoBSDOpen Source infoGPL Version 3, commercial licenses available
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 languageC++Java, ClojureJavaC++Java
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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 indexesnoyesnonoyes
SQL infoSupport of SQLnonoSQL-like query language (OQL)nono
APIs and other access methodsMemcached protocolRESTful HTTP APIJava Client API
Memcached protocol
RESTful HTTP API
C++ API
Java API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Clojure
Java
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Go
Java
Perl
Python
Ruby
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsuser defined functionsnono
TriggersnoBy using transaction functionsyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardinghorizontal partitioningno
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersMulti-source replicationyesSynchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentnoyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesyesno
User concepts infoAccess controlnonoAccess rights per client and object definablenoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Cachelot.ioDatomicGeodeRocksDBTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Cachelot.ioDatomicGeodeRocksDBTypeDB infoformerly named Grakn
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