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DBMS > Apache Impala vs. Dgraph vs. JanusGraph vs. Newts vs. Solr

System Properties Comparison Apache Impala vs. Dgraph vs. JanusGraph vs. Newts vs. Solr

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDgraph  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonNewts  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDistributed and scalable native Graph DBMSA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Time Series DBMS based on CassandraA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSGraph DBMSGraph DBMSTime Series DBMSSearch engine
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
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteimpala.apache.orgdgraph.iojanusgraph.orgopennms.github.io/­newtssolr.apache.org
Technical documentationimpala.apache.org/­impala-docs.htmldgraph.io/­docsdocs.janusgraph.orggithub.com/­OpenNMS/­newts/­wikisolr.apache.org/­resources.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDgraph Labs, Inc.Linux Foundation; originally developed as Titan by AureliusOpenNMS GroupApache Software Foundation
Initial release20132016201720142006
Current release4.1.0, June 20220.6.3, February 20239.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJavaJavaJava
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes infosupports customizable data types and automatic typing
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.nonononoyes
Secondary indexesyesyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsnononoSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP REST
Java API
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
Java.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesnoJava plugins
Triggersnonoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingyesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSynchronous replication via Raftyesselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infovia Faunus, a graph analytics enginenospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosno infoPlanned for future releasesUser authentification and security via Rexster Graph Servernoyes

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More resources
Apache ImpalaDgraphJanusGraph infosuccessor of TitanNewtsSolr
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