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DBMS > Drizzle vs. Heroic vs. InfinityDB vs. KairosDB vs. Kinetica

System Properties Comparison Drizzle vs. Heroic vs. InfinityDB vs. KairosDB vs. Kinetica

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHeroic  Xexclude from comparisonInfinityDB  Xexclude from comparisonKairosDB  Xexclude from comparisonKinetica  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA Java embedded Key-Value Store which extends the Java Map interfaceDistributed Time Series DBMS based on Cassandra or H2Fully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSTime Series DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitegithub.com/­spotify/­heroicboilerbay.comgithub.com/­kairosdb/­kairosdbwww.kinetica.com
Technical documentationspotify.github.io/­heroicboilerbay.com/­infinitydb/­manualkairosdb.github.iodocs.kinetica.com
DeveloperDrizzle project, originally started by Brian AkerSpotifyBoiler Bay Inc.Kinetica
Initial release20082014200220132012
Current release7.2.4, September 20124.01.2.2, November 20187.1, August 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaJavaC, C++
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMLinux
OS X
Windows
Linux
Data schemeyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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 indexesyesyes infovia Elasticsearchno infomanual creation possible, using inversions based on multi-value capabilitynoyes
SQL infoSupport of SQLyes infowith proprietary extensionsnononoSQL-like DML and DDL statements
APIs and other access methodsJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Graphite protocol
HTTP REST
Telnet API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
JavaJava
JavaScript infoNode.js
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonononouser defined functions
Triggersno infohooks for callbacks inside the server can be used.nononoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnoneselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnono infomanual creation possible, using inversions based on multi-value capabilitynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoGPU vRAM or System RAM
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnosimple password-based access controlAccess rights for users and roles on table level

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More resources
DrizzleHeroicInfinityDBKairosDBKinetica
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