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DBMS > Amazon Redshift vs. GridGain vs. Ignite vs. Microsoft Access vs. Tarantool

System Properties Comparison Amazon Redshift vs. GridGain vs. Ignite vs. Microsoft Access vs. Tarantool

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonGridGain  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsGridGain is an in-memory computing platform, built on Apache IgniteApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)In-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value store
Relational DBMS
Relational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.gridgain.comignite.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.tarantool.io
Technical documentationdocs.aws.amazon.com/­redshiftwww.gridgain.com/­docs/­index.htmlapacheignite.readme.io/­docsdeveloper.microsoft.com/­en-us/­accesswww.tarantool.io/­en/­doc
DeveloperAmazon (based on PostgreSQL)GridGain Systems, Inc.Apache Software FoundationMicrosoftVK
Initial release20122007201519922008
Current releaseGridGain 8.5.1Apache Ignite 2.61902 (16.0.11328.20222), March 20192.10.0, May 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, C++, .NetC++, Java, .NetC++C and C++
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsBSD
Linux
macOS
Data schemeyesyesyesyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesyesyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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.noyesyesno
Secondary indexesrestrictedyesyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardANSI-99 for query and DML statements, subset of DDLANSI-99 for query and DML statements, subset of DDLyes infobut not compliant to any SQL standardFull-featured ANSI SQL support
APIs and other access methodsJDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
DAO
ODBC
OLE DB
Open binary protocol
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes (compute grid and cache interceptors can be used instead)yes (compute grid and cache interceptors can be used instead)yes infosince Access 2010 using the ACE-engineLua, C and SQL stored procedures
Triggersnoyes (cache interceptors and events)yes (cache interceptors and events)yes infosince Access 2010 using the ACE-engineyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)yes (replicated cache)noneAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infobut no files for transaction loggingACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsSecurity Hooks for custom implementationsno infoa simple user-level security was built in till version Access 2003Access Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
Amazon RedshiftGridGainIgniteMicrosoft AccessTarantool
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