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DBMS > BigObject vs. LevelDB vs. PouchDB vs. RavenDB

System Properties Comparison BigObject vs. LevelDB vs. PouchDB vs. RavenDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonLevelDB  Xexclude from comparisonPouchDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesJavaScript DBMS with an API inspired by CouchDBOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeDocument storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#342  Overall
#150  Relational DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score2.35
Rank#116  Overall
#22  Document stores
Score3.01
Rank#101  Overall
#17  Document stores
Websitebigobject.iogithub.com/­google/­leveldbpouchdb.comravendb.net
Technical documentationdocs.bigobject.iogithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdpouchdb.com/­guidesravendb.net/­docs
DeveloperBigObject, Inc.GoogleApache Software FoundationHibernating Rhinos
Initial release2015201120122010
Current release1.23, February 20217.1.1, June 20195.4, July 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoBSDOpen SourceOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScriptC#
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Illumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonono
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.nonono
Secondary indexesyesnoyes infovia viewsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoSQL-like query language (RQL)
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresLuanoView functions in JavaScriptyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnononoAuthorization levels configured per client per database

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More resources
BigObjectLevelDBPouchDBRavenDB
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