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DBMS > Amazon DocumentDB vs. GBase vs. Ignite vs. Infobright vs. OpenTSDB

System Properties Comparison Amazon DocumentDB vs. GBase vs. Ignite vs. Infobright vs. OpenTSDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGBase  Xexclude from comparisonIgnite  Xexclude from comparisonInfobright  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.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.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendScalable Time Series DBMS based on HBase
Primary database modelDocument storeRelational DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websiteaws.amazon.com/­documentdbwww.gbase.cnignite.apache.orgignitetech.com/­softwarelibrary/­infobrightdbopentsdb.net
Technical documentationaws.amazon.com/­documentdb/­resourcesapacheignite.readme.io/­docsopentsdb.net/­docs/­build/­html/­index.html
DeveloperGeneral Data Technology Co., Ltd.Apache Software FoundationIgnite Technologies Inc.; formerly InfoBright Inc.currently maintained by Yahoo and other contributors
Initial release20192004201520052011
Current releaseGBase 8a, GBase 8s, GBase 8cApache Ignite 2.6
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoLGPL
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC++, Java, .NetCJava
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
Linux
Windows
Linux
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesnumeric data for metrics, strings for tags
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.noyesyesnono
Secondary indexesyesyesyesno infoKnowledge Grid Technology used insteadno
SQL infoSupport of SQLnoStandard with numerous extensionsANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
HTTP API
Telnet API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyes (compute grid and cache interceptors can be used instead)nono
Triggersnoyesyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyes (replicated cache)Source-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and rolesyesSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesno

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More resources
Amazon DocumentDBGBaseIgniteInfobrightOpenTSDB
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