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DBMS > BigObject vs. Cachelot.io vs. HarperDB vs. Microsoft Azure Table Storage

System Properties Comparison BigObject vs. Cachelot.io vs. HarperDB vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCachelot.io  Xexclude from comparisonHarperDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesIn-memory caching systemUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeDocument storeWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.55
Rank#248  Overall
#38  Document stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitebigobject.iocachelot.iowww.harperdb.ioazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.bigobject.iodocs.harperdb.io/­docs
DeveloperBigObject, Inc.HarperDBMicrosoft
Initial release2015201520172012
Current release3.1, August 2021
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoSimplified BSD Licensecommercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Node.js
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
FreeBSD
Linux
OS X
Linux
OS X
hosted
Data schemeyesschema-freedynamic schemaschema-free
Typing infopredefined data types such as float or dateyesnoyes infoJSON data typesyes
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 indexesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like data manipulation statementsno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Memcached protocolJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresLuanoCustom Functions infosince release 3.1no
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneA table resides as a whole on one (or more) nodes in a clusterSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infothe nodes on which a table resides can be definedyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic execution of specific operationsoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesnoyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnonoAccess rights for users and rolesAccess rights based on private key authentication or shared access signatures

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More resources
BigObjectCachelot.ioHarperDBMicrosoft Azure Table Storage
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