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DBMS > Apache Drill vs. Google Cloud Datastore vs. Hypertable vs. NuoDB vs. SQream DB

System Properties Comparison Apache Drill vs. Google Cloud Datastore vs. Hypertable vs. NuoDB vs. SQream DB

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHypertable  Xexclude from comparisonNuoDB  Xexclude from comparisonSQream DB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn open source BigTable implementation based on distributed file systems such as HadoopNuoDB is a webscale distributed database that supports SQL and ACID transactionsa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument store
Relational DBMS
Document storeWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitedrill.apache.orgcloud.google.com/­datastorewww.3ds.com/­nuodb-distributed-sql-databasesqream.com
Technical documentationdrill.apache.org/­docscloud.google.com/­datastore/­docsdoc.nuodb.comdocs.sqream.com
DeveloperApache Software FoundationGoogleHypertable Inc.Dassault Systèmes infooriginally NuoDB, Inc.SQream Technologies
Initial release20122008200920132017
Current release1.20.3, January 20230.9.8.11, March 20162022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGNU version 3. Commercial license availablecommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows infoan inofficial Windows port is available
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, details herenoyesyes, 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 indexesnoyesrestricted infoonly exact value or prefix value scansyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query language (GQL)noyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
C++ API
Thrift
ADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesC++.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsusing Google App EnginenoJava, SQLuser defined functions in Python
TriggersnoCallbacks using the Google Apps Enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingdata is dynamically stored/cached on the nodes where it is read/writtenhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor on file system levelyes infoManaged transparently by NuoDBnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflowyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyes infoTemporary table
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noStandard SQL roles/ privileges, Administrative Users

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More resources
Apache DrillGoogle Cloud DatastoreHypertableNuoDBSQream DB
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