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DBMS > Badger vs. Ehcache vs. Hypertable vs. Netezza vs. RavenDB

System Properties Comparison Badger vs. Ehcache vs. Hypertable vs. Netezza vs. RavenDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEhcache  Xexclude from comparisonHypertable  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRavenDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A widely adopted Java cache with tiered storage optionsAn open source BigTable implementation based on distributed file systems such as HadoopData warehouse and analytics appliance part of IBM PureSystemsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelKey-value storeKey-value storeWide column storeRelational DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.ehcache.orgwww.ibm.com/­products/­netezzaravendb.net
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.ehcache.org/­documentationravendb.net/­docs
DeveloperDGraph LabsTerracotta Inc, owned by Software AGHypertable Inc.IBMHibernating Rhinos
Initial release20172009200920002010
Current release3.10.0, March 20220.9.8.11, March 20165.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++C#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoincluded in applianceLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesnoyesno
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.nono
Secondary indexesnonorestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnononoyesSQL-like query language (RQL)
APIs and other access methodsJCacheC++ API
Thrift
JDBC
ODBC
OLE DB
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesGoJavaC++
Java
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononoyesyes
Triggersnoyes infoCache Event Listenersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta Serverselectable replication factor on file system levelSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourcenoACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnononoUsers with fine-grained authorization conceptAuthorization levels configured per client per database

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More resources
BadgerEhcacheHypertableNetezza infoAlso called PureData System for Analytics by IBMRavenDB
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