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DBMS > Heroic vs. Linter vs. Solr vs. Transwarp StellarDB

System Properties Comparison Heroic vs. Linter vs. Solr vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonLinter  Xexclude from comparisonSolr  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchRDBMS for high security requirementsA widely used distributed, scalable search engine based on Apache LuceneA distributed graph DBMS built for enterprise-level graph applications
Primary database modelTime Series DBMSRelational DBMSSearch engineGraph DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitegithub.com/­spotify/­heroiclinter.rusolr.apache.orgwww.transwarp.cn/­en/­product/­stellardb
Technical documentationspotify.github.io/­heroicsolr.apache.org/­resources.html
DeveloperSpotifyrelex.ruApache Software FoundationTranswarp
Initial release201419902006
Current release9.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2commercial
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 languageJavaC and C++Java
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes 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.nonoyes
Secondary indexesyes infovia Elasticsearchyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesSolr Parallel SQL InterfaceSQL-like query language
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Java API
RESTful HTTP/JSON API
OpenCypher
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLJava plugins
Triggersnoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic locking
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesyes

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More resources
HeroicLinterSolrTranswarp StellarDB
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