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DBMS > Heroic vs. Solr vs. Splice Machine vs. TinkerGraph

System Properties Comparison Heroic vs. Solr vs. Splice Machine vs. TinkerGraph

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonSolr  Xexclude from comparisonSplice Machine  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA widely used distributed, scalable search engine based on Apache LuceneOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelTime Series DBMSSearch engineRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitegithub.com/­spotify/­heroicsolr.apache.orgsplicemachine.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationspotify.github.io/­heroicsolr.apache.org/­resources.htmlsplicemachine.com/­how-it-works
DeveloperSpotifyApache Software FoundationSplice Machine
Initial release2014200620142009
Current release9.6.1, May 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaJava
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Solaris
Windows
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyesyes
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
Secondary indexesyes infovia Elasticsearchyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLnoSolr Parallel SQL Interfaceyesno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
RESTful HTTP/JSON API
JDBC
Native Spark Datasource
ODBC
TinkerPop 3
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Groovy
Java
Server-side scripts infoStored proceduresnoJava pluginsyes infoJavano
Triggersnoyes infoUser configurable commands triggered on index changesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)no
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardno

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More resources
HeroicSolrSplice MachineTinkerGraph
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