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DBMS > AlaSQL vs. Amazon DocumentDB vs. GridGain vs. Sqrrl vs. WakandaDB

System Properties Comparison AlaSQL vs. Amazon DocumentDB vs. GridGain vs. Sqrrl vs. WakandaDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonGridGain  Xexclude from comparisonSqrrl  Xexclude from comparisonWakandaDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryFast, scalable, highly available, and fully managed MongoDB-compatible database serviceGridGain is an in-memory computing platform, built on Apache IgniteAdaptable, secure NoSQL built on Apache AccumuloWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Relational DBMS
Document storeKey-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.91
Rank#132  Overall
#24  Document stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitealasql.orgaws.amazon.com/­documentdbwww.gridgain.comsqrrl.comwakanda.github.io
Technical documentationgithub.com/­AlaSQL/­alasqlaws.amazon.com/­documentdb/­resourceswww.gridgain.com/­docs/­index.htmlwakanda.github.io/­doc
DeveloperAndrey Gershun & Mathias R. WulffGridGain Systems, Inc.Amazon infooriginally Sqrrl Data, Inc.Wakanda SAS
Initial release20142019200720122012
Current releaseGridGain 8.5.12.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialcommercialcommercialOpen Source infoAGPLv3, extended commercial license available
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 languageJavaScriptJava, C++, .NetJavaC++, JavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsJavaScript APIproprietary protocol using JSON (MongoDB compatible)HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
RESTful HTTP API
Supported programming languagesJavaScriptGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
JavaScript
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)noyes
Triggersyesnoyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes (replicated cache)selectable replication factor infomaking use of Hadoopnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageAtomic single-document operationsACIDAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoAccess rights for users and rolesSecurity Hooks for custom implementationsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)yes

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More resources
AlaSQLAmazon DocumentDBGridGainSqrrlWakandaDB
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