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DBMS > Amazon DocumentDB vs. Galaxybase vs. InfinityDB vs. mSQL vs. Sphinx

System Properties Comparison Amazon DocumentDB vs. Galaxybase vs. InfinityDB vs. mSQL vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonInfinityDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable, ACID-compliant native distributed parallel graph platformA Java embedded Key-Value Store which extends the Java Map interfacemSQL (Mini SQL) is a simple and lightweight RDBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeGraph DBMSKey-value storeRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.07
Rank#377  Overall
#40  Graph DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websiteaws.amazon.com/­documentdbgalaxybase.comboilerbay.comhughestech.com.au/­products/­msqlsphinxsearch.com
Technical documentationaws.amazon.com/­documentdb/­resourcesboilerbay.com/­infinitydb/­manualsphinxsearch.com/­docs
DeveloperChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Boiler Bay Inc.Hughes TechnologiesSphinx Technologies Inc.
Initial release20192017200219942001
Current releaseNov 20, November 20214.04.4, October 20213.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree licenses can be providedOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and JavaJavaCC++
Server operating systemshostedLinuxAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeStrong typed schemayes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesno
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.nononono
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes infofull-text index on all search fields
SQL infoSupport of SQLnononoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
JavaC
C++
Delphi
Java
Perl
PHP
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnouser defined procedures and functionsnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDnone
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsno infomanual creation possible, using inversions based on multi-value capabilitynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlnonono

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More resources
Amazon DocumentDBGalaxybaseInfinityDBmSQL infoMini SQLSphinx
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