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DBMS > Apache Drill vs. Heroic vs. Ingres vs. Rockset

System Properties Comparison Apache Drill vs. Heroic vs. Ingres vs. Rockset

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonHeroic  Xexclude from comparisonIngres  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchWell established RDBMSA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Websitedrill.apache.orggithub.com/­spotify/­heroicwww.actian.com/­databases/­ingresrockset.com
Technical documentationdrill.apache.org/­docsspotify.github.io/­heroicdocs.actian.com/­ingresdocs.rockset.com
DeveloperApache Software FoundationSpotifyActian CorporationRockset
Initial release201220141974 infooriginally developed at University Berkely in early 1970s2019
Current release1.20.3, January 202312.0, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemsLinux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hosted
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic 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.nonono infobut tools for importing/exporting data from/to XML-files availableno infoingestion from XML files supported
Secondary indexesnoyes infovia Elasticsearchyesall fields are automatically indexed
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyesRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP REST
Supported programming languagesC++Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesIngres Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenono
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
Apache DrillHeroicIngresRockset
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Apache Drill case study: A tutorial on processing CSV files
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