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DBMS > Datomic vs. Dragonfly vs. Google Cloud Bigtable vs. Graphite vs. Yanza

System Properties Comparison Datomic vs. Dragonfly vs. Google Cloud Bigtable vs. Graphite vs. Yanza

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDragonfly  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperTime Series DBMS for IoT Applications
Primary database modelRelational DBMSKey-value storeKey-value store
Wide column store
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Websitewww.datomic.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
cloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webyanza.com
Technical documentationdocs.datomic.comwww.dragonflydb.io/­docscloud.google.com/­bigtable/­docsgraphite.readthedocs.io
DeveloperCognitectDragonflyDB team and community contributorsGoogleChris DavisYanza
Initial release20122023201520062015
Current release1.0.7075, December 20231.0, March 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSL 1.1commercialOpen Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++Python
Server operating systemsAll OS with a Java VMLinuxhostedLinux
Unix
Windows
Data schemeyesscheme-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysnoNumeric data onlyno
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 indexesyesnononono
SQL infoSupport of SQLnonononono
APIs and other access methodsRESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocolgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
HTTP API
Supported programming languagesClojure
Java
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infoTransaction FunctionsLuanonono
TriggersBy using transaction functionspublish/subscribe channels provide some trigger functionalitynonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsAtomic single-row operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes infolockingyes
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 developmentyesno
User concepts infoAccess controlnoPassword-based authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nono

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More resources
DatomicDragonflyGoogle Cloud BigtableGraphiteYanza
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