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DBMS > BigObject vs. Cachelot.io vs. NSDb vs. Tigris

System Properties Comparison BigObject vs. Cachelot.io vs. NSDb vs. Tigris

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCachelot.io  Xexclude from comparisonNSDb  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesIn-memory caching systemScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeTime Series DBMSDocument store
Key-value store
Search engine
Time Series DBMS
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
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websitebigobject.iocachelot.ionsdb.iowww.tigrisdata.com
Technical documentationdocs.bigobject.ionsdb.io/­Architecturewww.tigrisdata.com/­docs
DeveloperBigObject, Inc.Tigris Data, Inc.
Initial release2015201520172022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoSimplified BSD LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, Scala
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
macOS
Linux
macOS
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes: int, bigint, decimal, stringyes
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 indexesyesnoall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Memcached protocolgRPC
HTTP REST
WebSocket
CLI Client
gRPC
RESTful HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Java
Scala
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresLuanonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesnoUsing Apache Luceneyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnonoAccess rights for users and roles

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More resources
BigObjectCachelot.ioNSDbTigris
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