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DBMS > atoti vs. Hawkular Metrics vs. LMDB vs. WakandaDB

System Properties Comparison atoti vs. Hawkular Metrics vs. LMDB vs. WakandaDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLMDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A high performant, light-weight, embedded key-value database libraryWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelObject oriented DBMSTime Series DBMSKey-value storeObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score1.94
Rank#120  Overall
#20  Key-value stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteatoti.iowww.hawkular.orgwww.symas.com/­symas-embedded-database-lmdbwakanda.github.io
Technical documentationdocs.atoti.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.lmdb.tech/­docwakanda.github.io/­doc
DeveloperActiveViamCommunity supported by Red HatSymasWakanda SAS
Initial release201420112012
Current release0.9.32, January 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0Open SourceOpen Source infoAGPLv3, extended commercial license available
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 languageJavaJavaCC++, JavaScript
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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 indexesnono
SQL infoSupport of SQLMultidimensional Expressions (MDX)nonono
APIs and other access methodsHTTP RESTRESTful HTTP API
Supported programming languagesGo
Java
Python
Ruby
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
JavaScript
Server-side scripts infoStored proceduresPythonnonoyes
Triggersyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infobased on Cassandranonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnonoyes

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More resources
atotiHawkular MetricsLMDBWakandaDB
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