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DBMS > Alibaba Cloud MaxCompute vs. BoltDB vs. Ehcache vs. Faircom EDGE vs. Google Cloud Bigtable

System Properties Comparison Alibaba Cloud MaxCompute vs. BoltDB vs. Ehcache vs. Faircom EDGE vs. Google Cloud Bigtable

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonBoltDB  Xexclude from comparisonEhcache  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingAn embedded key-value store for Go.A widely adopted Java cache with tiered storage optionsFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesKey-value storeKey-value storeKey-value store
Relational DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Websitewww.alibabacloud.com/­product/­maxcomputegithub.com/­boltdb/­boltwww.ehcache.orgwww.faircom.com/­products/­faircom-edgecloud.google.com/­bigtable
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputewww.ehcache.org/­documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlcloud.google.com/­bigtable/­docs
DeveloperAlibabaTerracotta Inc, owned by Software AGFairCom CorporationGoogle
Initial release20162013200919792015
Current release3.10.0, March 2022V3, October 2020
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availablecommercial infoRestricted, free version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaANSI C, C++
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
hosted
Data schemeyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesnoyesyes, ANSI Standard SQL Typesno
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.nononoyesno
Secondary indexesnononoyesno
SQL infoSupport of SQLSQL-like query languagenonoyes infoANSI SQL queriesno
APIs and other access methodsFluentd
Flume
MaxCompute Console
JCacheADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesJavaGoJavaC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanonoyes info.Net, JavaScript, C/C++no
Triggersnonoyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding infoby using Terracotta ServerFile partitioning infoCustomizable business rules for partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneyes infoby using Terracotta Serveryes infoSynchronous and asynchronous realtime replication based on transaction logsInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Tunable Consistency
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynononoyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesyes infosupports JTA and can work as an XA resourceACIDAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controlAccess rights for users and rolesnonoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Alibaba Cloud MaxComputeBoltDBEhcacheFaircom EDGE infoformerly c-treeEDGEGoogle Cloud Bigtable
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