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DBMS > Prometheus vs. Solr vs. Sqrrl vs. Teradata vs. XTDB

System Properties Comparison Prometheus vs. Solr vs. Sqrrl vs. Teradata vs. XTDB

Editorial information provided by DB-Engines
NamePrometheus  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  Xexclude from comparisonTeradata  Xexclude from comparisonXTDB infoformerly named Crux  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.
DescriptionOpen-source Time Series DBMS and monitoring systemA widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache AccumuloA hybrid cloud data analytics software platform (Teradata Vantage)A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelTime Series DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSDocument store
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websiteprometheus.iosolr.apache.orgsqrrl.comwww.teradata.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationprometheus.io/­docssolr.apache.org/­resources.htmldocs.teradata.comwww.xtdb.com/­docs
DeveloperApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.TeradataJuxt Ltd.
Initial release20152006201219842019
Current release9.6.1, May 2024Teradata Vantage 1.0 MU2, January 20191.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2commercialcommercialOpen Source infoMIT License
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 languageGoJavaJavaClojure
Server operating systemsLinux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linuxhosted
Linux
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyesschema-free
Typing infopredefined data types such as float or dateNumeric data onlyyes infosupports customizable data types and automatic typingyesyesyes, extensible-data-notation format
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 possibleyesyesno
Secondary indexesnoyes infoAll search fields are automatically indexedyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnoSolr Parallel SQL Interfacenoyes infoSQL 2016 + extensionslimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP/JSON APIJava API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
HTTP REST
JDBC
Supported programming languages.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Clojure
Java
Server-side scripts infoStored proceduresnoJava pluginsnoyes infoUDFs, stored procedures, table functions in parallelno
Triggersnoyes infoUser configurable commands triggered on index changesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infomaking use of HadoopSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby Federationyesselectable replication factor infomaking use of HadoopMulti-source replication
Source-replica replication
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingAtomic updates per row, document, or graph entityACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standard

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More resources
PrometheusSolrSqrrlTeradataXTDB infoformerly named Crux
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