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DBMS > Badger vs. KairosDB vs. ObjectBox vs. Vertica

System Properties Comparison Badger vs. KairosDB vs. ObjectBox vs. Vertica

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonKairosDB  Xexclude from comparisonObjectBox  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Distributed Time Series DBMS based on Cassandra or H2Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelKey-value storeTime Series DBMSObject oriented DBMS
Vector DBMS
Relational DBMS infoColumn oriented
Secondary database modelsTime Series DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­kairosdb/­kairosdbgithub.com/­objectbox
objectbox.io
www.vertica.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerkairosdb.github.iodocs.objectbox.iovertica.com/­documentation
DeveloperDGraph LabsObjectBox LimitedOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2017201320172005
Current release1.2.2, November 20184.0 (May 2024)12.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Bindings are released under Apache 2.0 infoApache License 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC and C++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
Data schemeschema-freeschema-freeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or datenoyesyes, plus "flex" map-like typesyes
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 indexesnonoyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnononoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsGraphite protocol
HTTP REST
Telnet API
Proprietary native APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesGoJava
JavaScript infoNode.js
PHP
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnononoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnononoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandranonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraData sync between devices allowing occasional connected databases to work completely offlineMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlnosimple password-based access controlyesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
BadgerKairosDBObjectBoxVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
BadgerKairosDBObjectBoxVertica infoOpenText™ Vertica™
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