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DBMS > Apache Drill vs. Atos Standard Common Repository vs. Ingres vs. Solr vs. TigerGraph

System Properties Comparison Apache Drill vs. Atos Standard Common Repository vs. Ingres vs. Solr vs. TigerGraph

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonIngres  Xexclude from comparisonSolr  Xexclude from comparisonTigerGraph  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksWell established RDBMSA widely used distributed, scalable search engine based on Apache LuceneA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
Relational DBMSSearch engineGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitedrill.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.actian.com/­databases/­ingressolr.apache.orgwww.tigergraph.com
Technical documentationdrill.apache.org/­docsdocs.actian.com/­ingressolr.apache.org/­resources.htmldocs.tigergraph.com
DeveloperApache Software FoundationAtos Convergence CreatorsActian CorporationApache Software Foundation
Initial release201220161974 infooriginally developed at University Berkely in early 1970s20062017
Current release1.20.3, January 2023170311.2, May 20229.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoApache Version 2commercial
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 languageJavaCJavaC++
Server operating systemsLinux
OS X
Windows
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeschema-freeSchema and schema-less with LDAP viewsyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesoptionalyesyes infosupports customizable data types and automatic typingyes
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.noyesno infobut tools for importing/exporting data from/to XML-files availableyesno
Secondary indexesnoyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyesSolr Parallel SQL InterfaceSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
LDAP.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Java API
RESTful HTTP/JSON API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC++All languages with LDAP bindings.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functionsnoyesJava pluginsyes
Triggersnoyesyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionhorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesIngres Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesnoyesno
User concepts infoAccess controlDepending on the underlying data sourceLDAP bind authenticationfine grained access rights according to SQL-standardyesRole-based access control

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More resources
Apache DrillAtos Standard Common RepositoryIngresSolrTigerGraph
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