DB-EnginesExtremeDB: the mission critical dbmsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Drill vs. Graph Engine vs. Machbase vs. SQream DB

System Properties Comparison Apache Drill vs. Graph Engine vs. Machbase vs. SQream DB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMachbase infoFormer name was Infiniflux  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineTimeSeries DBMS for AIoT and BigDataa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument store
Relational DBMS
Graph DBMS
Key-value store
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.33
Rank#104  Overall
#21  Document stores
#53  Relational DBMS
Score1.27
Rank#180  Overall
#15  Graph DBMS
#31  Key-value stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score0.86
Rank#219  Overall
#105  Relational DBMS
Websitedrill.apache.orgwww.graphengine.iowww.machbase.comsqream.com
Technical documentationdrill.apache.org/­docswww.graphengine.io/­docs/­manualmachbase.atlassian.net/­wiki/­spaces/­MAN/­overviewdocs.sqream.com
DeveloperApache Software FoundationMicrosoftMachbaseSQream Technologies
Initial release2012201020132014
Current release1.20.2, August 2022V6.5, August 20212021.2, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT Licensecommercial infofree test version availablecommercial
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 language.NET and CCC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Windows
.NETLinux
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Types
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
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP REST
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesC++C#
C++
F#
Visual Basic
C
C#
C++
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsyesnouser defined functions in Python
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagenoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyes infovolatile and lookup table
User concepts infoAccess controlDepending on the underlying data sourcesimple password-based access control
More information provided by the system vendor
Apache DrillGraph Engine infoformer name: TrinityMachbase infoFormer name was InfinifluxSQream DB
Specific characteristicsDue to exponentially growing data, organizations today are facing slowdowns, with...
» more
Competitive advantagesMuch faster time to insight Analyze significantly more data Achieve previously unobtainable...
» more
Typical application scenariosWhat can you do with 100x faster SQL analytics? Better and more timely decision making...
» more
Key customersSome of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile,...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache DrillGraph Engine infoformer name: TrinityMachbase infoFormer name was InfinifluxSQream DB
Recent citations in the news

How is SQL Used in Data Science?
29 November 2022, HostReview.com

Apache Drill improves big data SQL query engine
31 August 2021, TechTarget

Apache Drill Poised to Crack Tough Data Challenges
19 May 2015, Datanami

MapR Advances Support for Flexible and High Performance Analytics on JSON and S3 Data with Apache Drill
30 January 2019, Business Wire

Connecting Apache Zeppelin and Apache Drill, PostgreSQL, etc.
11 August 2018, Security Boulevard

provided by Google News

thatDot launches Quine, a streaming graph engine
23 February 2022, TechCrunch

How Google and Microsoft taught search to “understand” the Web
6 June 2012, Ars Technica

Cutting-edge Katana Graph scores $28.5 million Series A Led by Intel Capital
24 February 2021, ZDNet

Neo4j tunes its graph engine for AI applications
20 September 2018, SiliconANGLE News

provided by Google News

GPU Database Global Market Report 2022: Increasing Preference of Enterprises Toward AI and Machine Learning Facilitated Workloads Presents Opportunities - ResearchAndMarkets.com
9 November 2022, Business Wire

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

SQream Announces Hadoop SQL Big Data Challenge to Unlock Business Critical Insights
5 September 2019, PR Newswire

The GPU database market size was valued at US$ 1,112.11 million by 2028 from US$ US$ 388.81 million in 2022
24 October 2022, Yahoo Finance

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

provided by Google News

Job opportunities

Sr Data Engineer – Marketing Data Analytics
Lowe's, Charlotte, NC

Lead Software Engineer - Remote
UnitedHealth Group, Austin, TX

Software Engineer (Back-end Development)
Concourse Labs, Austin, TX

Senior Architect/Software Engineer (Back-end Development)
Concourse Labs, Austin, TX

jobs by Indeed



Share this page

Featured Products

Redis logo

The world’s most loved real‑time data platform.
Try free

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

The definitive guide for Cassandra

Imagine What You Could Do if Scalability Wasn‘t a Problem!
Download the Cassandra e-book for free!

Present your product here