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DBMS > Alibaba Cloud Table Store vs. EsgynDB vs. Google Cloud Datastore vs. InfinityDB vs. JaguarDB

System Properties Comparison Alibaba Cloud Table Store vs. EsgynDB vs. Google Cloud Datastore vs. InfinityDB vs. JaguarDB

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonInfinityDB  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA Java embedded Key-Value Store which extends the Java Map interfacePerformant, highly scalable DBMS for AI and IoT applications
Primary database modelWide column storeRelational DBMSDocument storeKey-value storeKey-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#15  Vector DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.esgyn.cncloud.google.com/­datastoreboilerbay.comwww.jaguardb.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorecloud.google.com/­datastore/­docsboilerbay.com/­infinitydb/­manualwww.jaguardb.com/­support.html
DeveloperAlibabaEsgynGoogleBoiler Bay Inc.DataJaguar, Inc.
Initial release20162015200820022015
Current release4.03.3 July 2023
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoGPL V3.0
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 languageC++, JavaJavaC++ infothe server part. Clients available in other languages
Server operating systemshostedLinuxhostedAll OS with a Java VMLinux
Data schemeschema-freeyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.nonononono
Secondary indexesnoyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLnoyesSQL-like query language (GQL)noA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
Supported programming languagesJava
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJava Stored Proceduresusing Google App Enginenono
TriggersnonoCallbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication between multi datacentersMulti-source replication using PaxosnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsno infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infoOptimistic locking for transactions; no isolation for bulk loadsno
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.nonononono
User concepts infoAccess controlAccess rights based on subaccounts and tokensfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)norights management via user accounts

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More resources
Alibaba Cloud Table StoreEsgynDBGoogle Cloud DatastoreInfinityDBJaguarDB
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