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DBMS > Bangdb vs. etcd vs. Google Cloud Firestore vs. LeanXcale vs. Teradata Aster

System Properties Comparison Bangdb vs. etcd vs. Google Cloud Firestore vs. LeanXcale vs. Teradata Aster

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonLeanXcale  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphA distributed reliable key-value storeCloud 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 highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeDocument storeKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score7.85
Rank#51  Overall
#8  Document stores
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websitebangdb.cometcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestorewww.leanxcale.com
Technical documentationdocs.bangdb.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestore
DeveloperSachin Sinha, BangDBGoogleLeanXcaleTeradata
Initial release2012201720152005
Current releaseBangDB 2.0, October 20213.4, August 2019
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Go
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
hostedLinux
Data schemeschema-freeschema-freeschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesyes
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.nononoyes infoin Aster File Store
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyes
SQL infoSupport of SQLSQL like support with command line toolnonoyes infothrough Apache Derbyyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
gRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
Java
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnonoyes, Firebase Rules & Cloud FunctionsR packages
Triggersyes, Notifications (with Streaming only)yes, watching key changesyes, 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)Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflownoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
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 modenoyesno
User concepts infoAccess controlyes (enterprise version only)noAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standard

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More resources
BangdbetcdGoogle Cloud FirestoreLeanXcaleTeradata Aster
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