DBMS > InterSystems Caché vs. OpenTSDB vs. Pinecone vs. RocksDB

System Properties Comparison InterSystems Caché vs. OpenTSDB vs. Pinecone vs. RocksDB

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Editorial information provided by DB-Engines

Name

Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.

Description

A multi-model DBMS and application server

Scalable Time Series DBMS based on HBase

A managed, cloud-native vector database

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

Primary database model

Key-value store
Object oriented DBMS
Relational DBMS

Time Series DBMS

Vector DBMS

Key-value store

Secondary database models

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.68
Rank	#142	Overall
	#12	Time Series DBMS

Score	3.23
Rank	#92	Overall
	#3	Vector DBMS

Score	3.41
Rank	#86	Overall
	#11	Key-value stores

Website

www.intersystems.com/products/cache

opentsdb.net

www.pinecone.io

rocksdb.org

Technical documentation

docs.intersystems.com

opentsdb.net/docs/build/html/index.html

docs.pinecone.io/docs/overview

github.com/facebook/rocksdb/wiki

Developer

InterSystems

currently maintained by Yahoo and other contributors

Pinecone Systems, Inc

Facebook, Inc.

Initial release

1997

2011

2019

2013

Current release

2018.1.4, May 2020

9.2.1, May 2024

License

Commercial or Open Source

commercial

Open Source

LGPL

commercial

Open Source

BSD

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++

Server operating systems

AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows

Linux
Windows

hosted

Linux

Data scheme

depending on used data model

schema-free

Typing

predefined data types such as float or date

yes

numeric data for metrics, strings for tags

String, Number, Boolean

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

.NET Client API
JDBC
ODBC
RESTful HTTP API

HTTP API
Telnet API

RESTful HTTP API

C++ API
Java API

Supported programming languages

C#
C++
Java

Erlang
Go
Java
Python
R
Ruby

Python

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

based on HBase

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

selectable replication factor

based on HBase

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Access rights for users, groups and roles

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