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DBMS > Graphite vs. Solr vs. Sqrrl vs. Teradata Aster vs. Trafodion

System Properties Comparison Graphite vs. Solr vs. Sqrrl vs. Teradata Aster vs. Trafodion

Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTrafodion  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.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache AccumuloPlatform for big data analytics on multistructured data sources and typesTransactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitegithub.com/­graphite-project/­graphite-websolr.apache.orgsqrrl.comtrafodion.apache.org
Technical documentationgraphite.readthedocs.iosolr.apache.org/­resources.htmltrafodion.apache.org/­documentation.html
DeveloperChris DavisApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.TeradataApache Software Foundation, originally developed by HP
Initial release20062006201220052014
Current release9.6.1, May 20242.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaJavaC++, Java
Server operating systemsLinux
Unix
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinuxLinux
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateNumeric data onlyyes infosupports customizable data types and automatic typingyesyesyes
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.noyesyes infoin Aster File Storeno
Secondary indexesnoyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoSolr Parallel SQL Interfacenoyesyes
APIs and other access methodsHTTP API
Sockets
Java API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesJavaScript (Node.js)
Python
.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#
C++
Java
Python
R
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoJava pluginsnoR packagesJava Stored Procedures
Triggersnoyes infoUser configurable commands triggered on index changesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infomaking use of HadoopShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor infomaking use of Hadoopyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesyes infoSQL Map-Reduce Frameworkyes infovia user defined functions and HBase
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 or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonononoyes
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 datayes infolockingyesyesyesyes
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.yesnono
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-standardfine grained access rights according to SQL-standard

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More resources
GraphiteSolrSqrrlTeradata AsterTrafodion
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