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DBMS > Datomic vs. Graphite vs. InterSystems Caché vs. Pinecone

System Properties Comparison Datomic vs. Graphite vs. InterSystems Caché vs. Pinecone

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraphite  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonPinecone  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA multi-model DBMS and application serverA managed, cloud-native vector database
Primary database modelRelational DBMSTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Vector DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websitewww.datomic.comgithub.com/­graphite-project/­graphite-webwww.intersystems.com/­products/­cachewww.pinecone.io
Technical documentationdocs.datomic.comgraphite.readthedocs.iodocs.intersystems.comdocs.pinecone.io/­docs/­overview
DeveloperCognitectChris DavisInterSystemsPinecone Systems, Inc
Initial release2012200619972019
Current release1.0.7180, July 20242018.1.4, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojurePython
Server operating systemsAll OS with a Java VMLinux
Unix
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hosted
Data schemeyesyesdepending on used data model
Typing infopredefined data types such as float or dateyesNumeric data onlyyesString, Number, Boolean
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.nonoyesno
Secondary indexesyesnoyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsRESTful HTTP APIHTTP API
Sockets
.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesClojure
Java
JavaScript (Node.js)
Python
C#
C++
Java
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
Durability infoSupport for making data persistentyes 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.yes inforecommended only for testing and developmentyesno
User concepts infoAccess controlnonoAccess rights for users, groups and roles

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More resources
DatomicGraphiteInterSystems CachéPinecone
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