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DBMS > Postgres-XL vs. Prometheus vs. Realm vs. Sqrrl vs. YDB

System Properties Comparison Postgres-XL vs. Prometheus vs. Realm vs. Sqrrl vs. YDB

Editorial information provided by DB-Engines
NamePostgres-XL  Xexclude from comparisonPrometheus  Xexclude from comparisonRealm  Xexclude from comparisonSqrrl  Xexclude from comparisonYDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-source Time Series DBMS and monitoring systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataAdaptable, secure NoSQL built on Apache AccumuloA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSTime Series DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Document store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitewww.postgres-xl.orgprometheus.iorealm.iosqrrl.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.postgres-xl.org/­documentationprometheus.io/­docsrealm.io/­docsydb.tech/­en/­docs
DeveloperRealm, acquired by MongoDB in May 2019Amazon infooriginally Sqrrl Data, Inc.Yandex
Initial release2014 infosince 2012, originally named StormDB2015201420122019
Current release10 R1, October 2018
License infoCommercial or Open SourceOpen Source infoMozilla public licenseOpen Source infoApache 2.0Open SourcecommercialOpen Source infoApache 2.0; commercial license available
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 languageCGoJava
Server operating systemsLinux
macOS
Linux
Windows
Android
Backend: server-less
iOS
Windows
LinuxLinux
Data schemeyesyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyesyes
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.yes infoXML type, but no XML query functionalityno infoImport of XML data possiblenono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infodistributed, parallel query executionnononoSQL-like query language (YQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnono inforuns within the applications so server-side scripts are unnecessarynono
Triggersyesnoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby Federationnoneselectable replication factor infomaking use of HadoopActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCCnoACIDAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes infoIn-Memory realmno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights defined for Yandex Cloud users

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