DBMS > Alibaba Cloud TSDB vs. Apache Impala vs. Hyprcubd vs. RavenDB

System Properties Comparison Alibaba Cloud TSDB vs. Apache Impala vs. Hyprcubd vs. RavenDB

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Editorial information provided by DB-Engines

Name

Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

A stable, reliable, and cost-effective online high-performance time series database service

Analytic DBMS for Hadoop

Serverless Time Series DBMS

Open Source Operational and Transactional Enterprise NoSQL Document Database

Primary database model

Secondary database models

Document store

Graph DBMS
Spatial DBMS
Time Series DBMS

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

Score	0.23
Rank	#300	Overall
	#24	Time Series DBMS

Score	10.63
Rank	#40	Overall
	#24	Relational DBMS

Score	2.68
Rank	#102	Overall
	#19	Document stores

Website

www.alibabacloud.com/product/hitsdb

impala.apache.org

hyprcubd.com (offline)

ravendb.net

Technical documentation

www.alibabacloud.com/help/en/time-series-database/latest/what-is-tsdb

impala.apache.org/impala-docs.html

ravendb.net/docs

Developer

Alibaba

Apache Software Foundation

Apache top-level project, originally developed by Cloudera

Hyprcubd, Inc.

Hibernating Rhinos

Initial release

2013

2010

Current release

4.1.0, June 2022

5.4, July 2022

License

Commercial or Open Source

commercial

Open Source

Apache Version 2

commercial

Open Source

AGPL version 3, commercial license available

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

C++

Server operating systems

hosted

Linux

hosted

Linux
macOS
Raspberry Pi
Windows

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

Numeric data and Strings

yes

time, int, uint, float, string

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.

Secondary indexes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

SQL-like query language

SQL-like query language (RQL)

APIs and other access methods

HTTP REST

JDBC
ODBC

gRPC (https)

.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API

Supported programming languages

Java

All languages supporting JDBC/ODBC

.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.

Foreign keys

Referential integrity

Transaction concepts

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

ACID, Cluster-wide transaction available

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.

User concepts

Access control

Access managed on TSDB instance level

Access rights for users, groups and roles

based on Apache Sentry and Kerberos

token access

Authorization levels configured per client per database

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More resources

Recent citations in the news

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