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DBMS > Apache Impala vs. Solr vs. Stardog vs. TerarkDB

System Properties Comparison Apache Impala vs. Solr vs. Stardog vs. TerarkDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonSolr  Xexclude from comparisonStardog  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA widely used distributed, scalable search engine based on Apache LuceneEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSSearch engineGraph DBMS
RDF store
Key-value store
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteimpala.apache.orgsolr.apache.orgwww.stardog.comgithub.com/­bytedance/­terarkdb
Technical documentationimpala.apache.org/­impala-docs.htmlsolr.apache.org/­resources.htmldocs.stardog.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationStardog-UnionByteDance, originally Terark
Initial release2013200620102016
Current release4.1.0, June 20229.6.0, April 20247.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaC++
Server operating systemsLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Windows
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyesno
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 infoImport/export of XML data possibleno
Secondary indexesyesyes infoAll search fields are automatically indexedyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLSQL-like DML and DDL statementsSolr Parallel SQL InterfaceYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP/JSON API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava pluginsuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnoyes infoUser configurable commands triggered on index changesyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducespark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesAccess rights for users and rolesno

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More resources
Apache ImpalaSolrStardogTerarkDB
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