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DBMS > Drizzle vs. InfinityDB vs. Ingres vs. Kinetica

System Properties Comparison Drizzle vs. InfinityDB vs. Ingres vs. Kinetica

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonInfinityDB  Xexclude from comparisonIngres  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.A Java embedded Key-Value Store which extends the Java Map interfaceWell established RDBMSFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#59  Key-value stores
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Websiteboilerbay.comwww.actian.com/­databases/­ingreswww.kinetica.com
Technical documentationboilerbay.com/­infinitydb/­manualdocs.actian.com/­ingresdocs.kinetica.com
DeveloperDrizzle project, originally started by Brian AkerBoiler Bay Inc.Actian CorporationKinetica
Initial release200820021974 infooriginally developed at University Berkely in early 1970s2012
Current release7.2.4, September 20124.012.0, July 20247.1, August 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCC, C++
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyesyes 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.nono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoyesSQL-like DML and DDL statements
APIs and other access methodsJDBCAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
JavaC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesuser defined functions
Triggersno infohooks for callbacks inside the server can be used.noyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneIngres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnofine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
DrizzleInfinityDBIngresKinetica
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