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DBMS > Databend vs. Dolt vs. EJDB vs. Hazelcast vs. Prometheus

System Properties Comparison Databend vs. Dolt vs. EJDB vs. Hazelcast vs. Prometheus

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDolt  Xexclude from comparisonEJDB  Xexclude from comparisonHazelcast  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA MySQL compatible DBMS with Git-like versioning of data and schemaEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A widely adopted in-memory data gridOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value storeTime Series DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
github.com/­dolthub/­dolt
www.dolthub.com
github.com/­Softmotions/­ejdbhazelcast.comprometheus.io
Technical documentationdocs.databend.comdocs.dolthub.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdhazelcast.org/­imdg/­docsprometheus.io/­docs
DeveloperDatabend LabsDoltHub IncSoftmotionsHazelcast
Initial release20212018201220082015
Current release1.0.59, April 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGPLv2Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0
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 languageRustGoCJavaGo
Server operating systemshosted
Linux
macOS
Linux
macOS
Windows
server-lessAll OS with a Java VMLinux
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, bool, date, object_idyesNumeric data only
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.nonoyes infothe object must implement a serialization strategyno infoImport of XML data possible
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLyesyesnoSQL-like query languageno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
CLI Client
HTTP REST
in-process shared libraryJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Ada
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++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releasenoyes infoEvent Listeners, Executor Servicesno
Triggersnoyesnoyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.noneyes infoReplicated Mapyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithmnone
Foreign keys infoReferential integritynoyesno infotypically not needed, however similar functionality with collection joins possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesOnly one user is configurable, and must be specified in the config file at startupnoRole-based access controlno

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More resources
DatabendDoltEJDBHazelcastPrometheus
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