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DBMS > Dolt vs. EJDB vs. Faircom DB vs. Hawkular Metrics

System Properties Comparison Dolt vs. EJDB vs. Faircom DB vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonEJDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelRelational DBMSDocument storeKey-value store
Relational DBMS
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
github.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-dbwww.hawkular.org
Technical documentationdocs.dolthub.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperDoltHub IncSoftmotionsFairCom CorporationCommunity supported by Red Hat
Initial release2018201219792014
Current releaseV12, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2commercial infoRestricted, free version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCANSI C, C++Java
Server operating systemsLinux
macOS
Windows
server-lessAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Windows
Data schemeyesschema-freeschema free, schema optional, schema required, partial schema,schema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyes, ANSI SQL Types, JSON, typed binary structuresyes
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.nonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnoyes, ANSI SQL with proprietary extensionsno
APIs and other access methodsCLI Client
HTTP REST
in-process shared libraryADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
HTTP REST
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenoyes info.Net, JavaScript, C/C++no
Triggersyesnoyesyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesnonenoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.noneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).selectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnotunable from ACID to Eventually Consistentno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupnoFine grained access rights according to SQL-standard with additional protections for filesno

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More resources
DoltEJDBFaircom DB infoformerly c-treeACEHawkular Metrics
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