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DBMS > Heroic vs. Spark SQL vs. TinkerGraph vs. Transbase

System Properties Comparison Heroic vs. Spark SQL vs. TinkerGraph vs. Transbase

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonSpark SQL  Xexclude from comparisonTinkerGraph  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSpark SQL is a component on top of 'Spark Core' for structured data processingA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelTime Series DBMSRelational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.12
Rank#344  Overall
#34  Graph DBMS
Score0.15
Rank#337  Overall
#147  Relational DBMS
Websitegithub.com/­spotify/­heroicspark.apache.org/­sqltinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.transaction.de/­en/­products/­transbase.html
Technical documentationspotify.github.io/­heroicspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperSpotifyApache Software FoundationTransaction Software GmbH
Initial release2014201420091987
Current release3.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaJavaC and C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyes infovia Elasticsearchnonoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
TinkerPop 3ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJava
Python
R
Scala
Groovy
Java
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
noneImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyes
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlnonofine grained access rights according to SQL-standard

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More resources
HeroicSpark SQLTinkerGraphTransbase
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