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DBMS > Bangdb vs. Dgraph vs. Heroic vs. NCache

System Properties Comparison Bangdb vs. Dgraph vs. Heroic vs. NCache

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDgraph  Xexclude from comparisonHeroic  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDistributed and scalable native Graph DBMSTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMSTime Series DBMSKey-value store
Secondary database modelsSpatial DBMSDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Websitebangdb.comdgraph.iogithub.com/­spotify/­heroicwww.alachisoft.com/­ncache
Technical documentationdocs.bangdb.comdgraph.io/­docsspotify.github.io/­heroicwww.alachisoft.com/­resources/­docs
DeveloperSachin Sinha, BangDBDgraph Labs, Inc.SpotifyAlachisoft
Initial release2012201620142005
Current releaseBangDB 2.0, October 20215.3.3, April 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++GoJavaC#, .NET, .NET Core, Java
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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 indexesyes infosecondary, composite, nested, reverse, geospatialyesyes infovia Elasticsearchyes
SQL infoSupport of SQLSQL like support with command line toolnonoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsProprietary protocol
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesC
C#
C++
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnononono infosupport for stored procedures with SQL-Server CLR
Triggersyes, Notifications (with Streaming only)nonoyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmyesShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Synchronous replication via Raftyesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenoyes
User concepts infoAccess controlyes (enterprise version only)no infoPlanned for future releasesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
BangdbDgraphHeroicNCache
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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BangdbDgraphHeroicNCache
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