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DBMS > Bangdb vs. Google Cloud Firestore vs. Kyligence Enterprise vs. VoltDB

System Properties Comparison Bangdb vs. Google Cloud Firestore vs. Kyligence Enterprise vs. VoltDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A distributed analytics engine for big data, built on top of Apache KylinDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
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
Score7.36
Rank#53  Overall
#9  Document stores
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitebangdb.comfirebase.google.com/­products/­firestorekyligence.io/­kyligence-enterprisewww.voltdb.com
Technical documentationdocs.bangdb.comfirebase.google.com/­docs/­firestoredocs.voltdb.com
DeveloperSachin Sinha, BangDBGoogleKyligence, Inc.VoltDB Inc.
Initial release2012201720162010
Current releaseBangDB 2.0, October 202111.3, April 2022
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaJava, C++
Server operating systemsLinuxhostedLinuxLinux
OS X infofor development
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolnoANSI SQL for queries (using Apache Calcite)yes infoonly a subset of SQL 99
APIs and other access methodsProprietary protocol
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud FunctionsJava
Triggersyes, Notifications (with Streaming only)yes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes infoSnapshots and command logging
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 modeno
User concepts infoAccess controlyes (enterprise version only)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users and roles with access to stored procedures

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More resources
BangdbGoogle Cloud FirestoreKyligence EnterpriseVoltDB
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