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DBMS > Apache Drill vs. Hypertable vs. Ignite vs. Microsoft Azure SQL Database

System Properties Comparison Apache Drill vs. Hypertable vs. Ignite vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonHypertable  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  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 StorageAn open source BigTable implementation based on distributed file systems such as HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Database as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelDocument store
Relational DBMS
Wide column storeKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitedrill.apache.orgignite.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdrill.apache.org/­docsapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperApache Software FoundationHypertable Inc.Apache Software FoundationMicrosoft
Initial release2012200920152010
Current release1.20.3, January 20230.9.8.11, March 2016Apache Ignite 2.6V12
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java, .NetC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Solaris
Windows
hosted
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.noyesyes
Secondary indexesnorestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
C++ API
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Supported programming languagesC++C++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoyes (compute grid and cache interceptors can be used instead)Transact SQL
Triggersnonoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyes (replicated cache)yes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 sourceyes
User concepts infoAccess controlDepending on the underlying data sourcenoSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
Apache DrillHypertableIgniteMicrosoft Azure SQL Database infoformerly SQL Azure
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