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DBMS > atoti vs. BigObject vs. Datomic

System Properties Comparison atoti vs. BigObject vs. Datomic

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBigObject  Xexclude from comparisonDatomic  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Analytic DBMS for real-time computations and queriesDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability
Primary database modelObject oriented DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.43
Rank#260  Overall
#13  Object oriented DBMS
Score0.13
Rank#332  Overall
#147  Relational DBMS
Score1.50
Rank#148  Overall
#68  Relational DBMS
Websiteatoti.iobigobject.iowww.datomic.com
Technical documentationdocs.atoti.iodocs.bigobject.iodocs.datomic.com
DeveloperActiveViamBigObject, Inc.Cognitect
Initial release20152012
Current release1.0.7180, July 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infofree community edition availablecommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, Clojure
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VM
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like DML and DDL statementsno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesClojure
Java
Server-side scripts infoStored proceduresPythonLuayes infoTransaction Functions
TriggersnoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnonenone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoRead/write lock on objects (tables, trees)yes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes inforecommended only for testing and development
User concepts infoAccess controlnono

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More resources
atotiBigObjectDatomic
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