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DBMS > Cachelot.io vs. Hyprcubd vs. Ingres vs. Tarantool

System Properties Comparison Cachelot.io vs. Hyprcubd vs. Ingres vs. Tarantool

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonTarantool  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionIn-memory caching systemServerless Time Series DBMSWell established RDBMSIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelKey-value storeTime Series DBMSRelational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Websitecachelot.iohyprcubd.com (offline)www.actian.com/­databases/­ingreswww.tarantool.io
Technical documentationdocs.actian.com/­ingreswww.tarantool.io/­en/­doc
DeveloperHyprcubd, Inc.Actian CorporationVK
Initial release20151974 infooriginally developed at University Berkely in early 1970s2008
Current release11.2, May 20222.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicensecommercialcommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoCC and C++
Server operating systemsFreeBSD
Linux
OS X
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
BSD
Linux
macOS
Data schemeschema-freeyesyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or datenoyes infotime, int, uint, float, stringyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoSQL-like query languageyesFull-featured ANSI SQL support
APIs and other access methodsMemcached protocolgRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Open binary protocol
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnonoyesLua, C and SQL stored procedures
Triggersnonoyesyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesnoneIngres ReplicatorAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesnoyes infoMVCCyes, cooperative multitasking
Durability infoSupport for making data persistentnoyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlnotoken accessfine grained access rights according to SQL-standardAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
Cachelot.ioHyprcubdIngresTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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