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DBMS > EJDB vs. Prometheus vs. Quasardb vs. Tarantool

System Properties Comparison EJDB vs. Prometheus vs. Quasardb vs. Tarantool

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Open-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelDocument storeTime Series DBMSTime Series DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbprometheus.ioquasar.aiwww.tarantool.io
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdprometheus.io/­docsdoc.quasar.ai/­masterwww.tarantool.io/­en/­doc
DeveloperSoftmotionsquasardbVK
Initial release2012201520092008
Current release3.14.1, January 20242.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC++C and C++
Server operating systemsserver-lessLinux
Windows
BSD
Linux
OS X
Windows
BSD
Linux
macOS
Data schemeschema-freeyesschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idNumeric data onlyyes infointeger and binarystring, double, decimal, uuid, integer, blob, boolean, datetime
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.no infoImport of XML data possiblenono
Secondary indexesnonoyes infowith tagsyes
SQL infoSupport of SQLnonoSQL-like query languageFull-featured ANSI SQL support
APIs and other access methodsin-process shared libraryRESTful HTTP/JSON APIHTTP APIOpen binary protocol
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnononoLua, C and SQL stored procedures
Triggersnononoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoconsistent hashingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby FederationSource-replica replication with selectable replication factorAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlnonoCryptographically strong user authentication and audit trailAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
EJDBPrometheusQuasardbTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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