DBMS > BigObject vs. TimescaleDB vs. YugabyteDB

System Properties Comparison BigObject vs. TimescaleDB vs. YugabyteDB

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Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for real-time computations and queries

A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL

High-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Time Series DBMS

Relational DBMS

Secondary database models

Relational DBMS

Document store
Wide column store

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

Score	0.08
Rank	#303	Overall
	#133	Relational DBMS

Score	2.93
Rank	#102	Overall
	#6	Time Series DBMS

Score	1.18
Rank	#157	Overall
	#77	Relational DBMS

Website

bigobject.io

www.timescale.com

www.yugabyte.com

Technical documentation

docs.bigobject.io

docs.timescale.com

docs.yugabyte.com
github.com/yugabyte/yugabyte-db

Developer

BigObject, Inc.

Timescale

Yugabyte Inc.

Initial release

2015

2017

Current release

2.2.0, July 2020

License

Commercial or Open Source

commercial

free community edition available

Open Source

Apache 2.0

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C and C++

Server operating systems

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

Linux
OS X
Windows

Linux
OS X

Data scheme

yes

depending on used data model

Typing

predefined data types such as float or date

yes

numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types

yes

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

SQL-like DML and DDL statements

yes

full PostgreSQL SQL syntax

yes, PostgreSQL compatible

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language

Supported programming languages

.Net
C
C++
Delphi
Java

JDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl

C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby

Server-side scripts

Stored procedures

Lua

user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell

yes

sql, plpgsql, C

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes, across time and space (hash partitioning) attributes

Hash and Range Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication with hot standby and reads on replicas

Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Strong consistency on writes and tunable consistency on reads

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

yes

Transaction concepts

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

ACID

Distributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

yes

Durability

Support for making data persistent

yes

based on RocksDB

In-memory capabilities

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

yes

User concepts

Access control

fine grained access rights according to SQL-standard

yes

More information provided by the system vendor

Specific characteristics

Timescale is the creator of TimescaleDB , the first open-source relational database...
» more

Gain Developer Agility Leverage full power of PostgreSQL-compatible SQL and distributed...
» more

Competitive advantages

TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more

YugabyteDB is a distributed ACID-compliant database that brings together four must-have...
» more

Typical application scenarios

DevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
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YugabyteDB is a good fit for fast-growing, cloud native applications that need to...
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Key customers

TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more

Market metrics

With over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
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Licensing and pricing models

TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more

YugabyteDB is a 100% open source project licensed under the permissive Apache 2.0...
» more

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