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DBMS > atoti vs. BigchainDB vs. Faircom EDGE vs. HarperDB vs. TimesTen

System Properties Comparison atoti vs. BigchainDB vs. Faircom EDGE vs. HarperDB vs. TimesTen

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBigchainDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHarperDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.In-Memory RDBMS compatible to Oracle
Primary database modelObject oriented DBMSDocument storeKey-value store
Relational DBMS
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteatoti.iowww.bigchaindb.comwww.faircom.com/­products/­faircom-edgewww.harperdb.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.atoti.iobigchaindb.readthedocs.io/­en/­latestdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.harperdb.io/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperActiveViamFairCom CorporationHarperDBOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2016197920171998
Current releaseV3, October 20203.1, August 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoAGPL v3commercial infoRestricted, free version availablecommercial infofree community edition availablecommercial
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 languageJavaPythonANSI C, C++Node.js
Server operating systemsLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)dynamic schemayes
Typing infopredefined data types such as float or datenoyes, ANSI Standard SQL Typesyes infoJSON data typesyes
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.noyesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyes infoANSI SQL queriesSQL-like data manipulation statementsyes
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresPythonyes info.Net, JavaScript, C/C++Custom Functions infosince release 3.1PL/SQL
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingFile partitioning infoCustomizable business rules for partitioningA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoSynchronous and asynchronous realtime replication based on transaction logsyes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infowhen using SQLnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes, using LMDByes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlyesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users and rolesfine grained access rights according to SQL-standard

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More resources
atotiBigchainDBFaircom EDGE infoformerly c-treeEDGEHarperDBTimesTen
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