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DBMS > Badger vs. HarperDB vs. Informix vs. Transwarp Hippo

System Properties Comparison Badger vs. HarperDB vs. Informix vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHarperDB  Xexclude from comparisonInformix  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelKey-value storeDocument storeRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBVector DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.60
Rank#244  Overall
#38  Document stores
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score0.05
Rank#386  Overall
#16  Vector DBMS
Websitegithub.com/­dgraph-io/­badgerwww.harperdb.iowww.ibm.com/­products/­informixwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.harperdb.io/­docsinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
DeveloperDGraph LabsHarperDBIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.
Initial release2017201719842023
Current release3.1, August 202114.10.FC5, November 20201.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community edition availablecommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoNode.jsC, C++ and JavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Data schemeschema-freedynamic schemayes
Typing infopredefined data types such as float or datenoyes infoJSON data typesyes infoSince Version 12.10 support for JSON/BSON datatypesVector, Numeric and String
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 indexesnoyesyesno
SQL infoSupport of SQLnoSQL-like data manipulation statementsyesno
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesGo.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Python
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusterShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoAccess rights for users and rolesUsers with fine-grained authentication, authorization, and auditing controlsRole based access control and fine grained access rights

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More resources
BadgerHarperDBInformixTranswarp Hippo
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