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DBMS > Alibaba Cloud Table Store vs. BigchainDB vs. Google Cloud Datastore vs. IRONdb vs. SQream DB

System Properties Comparison Alibaba Cloud Table Store vs. BigchainDB vs. Google Cloud Datastore vs. IRONdb vs. SQream DB

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonBigchainDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonIRONdb  Xexclude from comparisonSQream DB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicitya GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelWide column storeDocument storeDocument storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score0.79
Rank#212  Overall
#36  Document stores
Score4.47
Rank#76  Overall
#12  Document stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.bigchaindb.comcloud.google.com/­datastorewww.circonus.com/solutions/time-series-database/sqream.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorebigchaindb.readthedocs.io/­en/­latestcloud.google.com/­datastore/­docsdocs.circonus.com/irondb/category/getting-starteddocs.sqream.com
DeveloperAlibabaGoogleCirconus LLC.SQream Technologies
Initial release20162016200820172017
Current releaseV0.10.20, January 20182022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC and C++C++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinuxhostedLinuxLinux
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes, details hereyes infotext, numeric, histogramsyes, ANSI Standard SQL Types
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 indexesnoyesnono
SQL infoSupport of SQLnonoSQL-like query language (GQL)SQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsHTTP APICLI Client
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API.Net
JDBC
ODBC
Supported programming languagesJava
Python
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnousing Google App Engineyes, in Luauser defined functions in Python
TriggersnoCallbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingAutomatic, metric affinity per nodehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factorMulti-source replication using Paxosconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights based on subaccounts and tokensyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Alibaba Cloud Table StoreBigchainDBGoogle Cloud DatastoreIRONdbSQream DB
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