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DBMS > Apache Drill vs. Drizzle vs. Kinetica vs. LevelDB vs. Yanza

System Properties Comparison Apache Drill vs. Drizzle vs. Kinetica vs. LevelDB vs. Yanza

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonLevelDB  Xexclude from comparisonYanza  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.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Fully vectorized database across both GPUs and CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesTime Series DBMS for IoT Applications
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Websitedrill.apache.orgwww.kinetica.comgithub.com/­google/­leveldbyanza.com
Technical documentationdrill.apache.org/­docsdocs.kinetica.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperApache Software FoundationDrizzle project, originally started by Brian AkerKineticaGoogleYanza
Initial release20122008201220112015
Current release1.20.3, January 20237.2.4, September 20127.1, August 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU GPLcommercialOpen Source infoBSDcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
LinuxIllumos
Linux
OS X
Windows
Windows
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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 indexesnoyesyesnono
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyes infowith proprietary extensionsSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCJDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesC++C
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsnono
Triggersnono infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes infoGPU vRAM or System RAM
User concepts infoAccess controlDepending on the underlying data sourcePluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelnono

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More resources
Apache DrillDrizzleKineticaLevelDBYanza
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