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DBMS > Amazon DocumentDB vs. Dolt vs. Ignite vs. InfinityDB

System Properties Comparison Amazon DocumentDB vs. Dolt vs. Ignite vs. InfinityDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDolt  Xexclude from comparisonIgnite  Xexclude from comparisonInfinityDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA MySQL compatible DBMS with Git-like versioning of data and schemaApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A Java embedded Key-Value Store which extends the Java Map interface
Primary database modelDocument storeRelational DBMSKey-value store
Relational DBMS
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Websiteaws.amazon.com/­documentdbgithub.com/­dolthub/­dolt
www.dolthub.com
ignite.apache.orgboilerbay.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.dolthub.comapacheignite.readme.io/­docsboilerbay.com/­infinitydb/­manual
DeveloperDoltHub IncApache Software FoundationBoiler Bay Inc.
Initial release2019201820152002
Current releaseApache Ignite 2.64.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++, Java, .NetJava
Server operating systemshostedLinux
macOS
Windows
Linux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeschema-freeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
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.nonoyesno
Secondary indexesyesyesyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLnoyesANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)CLI Client
HTTP REST
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
Java
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releaseyes (compute grid and cache interceptors can be used instead)no
Triggersnoyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnono infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesOnly one user is configurable, and must be specified in the config file at startupSecurity Hooks for custom implementationsno

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More resources
Amazon DocumentDBDoltIgniteInfinityDB
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