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DBMS > Amazon Redshift vs. Apache Drill vs. DolphinDB vs. Ignite

System Properties Comparison Amazon Redshift vs. Apache Drill vs. DolphinDB vs. Ignite

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Drill  Xexclude from comparisonDolphinDB  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelRelational DBMSDocument store
Relational DBMS
Time Series DBMSKey-value store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.63
Rank#33  Overall
#20  Relational DBMS
Score2.58
Rank#118  Overall
#23  Document stores
#56  Relational DBMS
Score4.14
Rank#85  Overall
#6  Time Series DBMS
Score4.04
Rank#86  Overall
#12  Key-value stores
#46  Relational DBMS
Websiteaws.amazon.com/­redshiftdrill.apache.orgwww.dolphindb.comignite.apache.org
Technical documentationdocs.aws.amazon.com/­redshiftdrill.apache.org/­docsdocs.dolphindb.cn/­en/­help200/­index.htmlapacheignite.readme.io/­docs
DeveloperAmazon (based on PostgreSQL)Apache Software FoundationDolphinDB, IncApache Software Foundation
Initial release2012201220182015
Current release1.20.3, January 2023v2.00.4, January 2022Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infofree community version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++, Java, .Net
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
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.nononoyes
Secondary indexesrestrictednoyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL SELECT statement is SQL:2003 compliantSQL-like query languageANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesAll languages supporting JDBC/ODBCC++C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functionsyesyes (compute grid and cache interceptors can be used instead)
Triggersnononoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesDepending on the underlying data sourceyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardDepending on the underlying data sourceAdministrators, Users, GroupsSecurity Hooks for custom implementations

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More resources
Amazon RedshiftApache DrillDolphinDBIgnite
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