DBMS > BoltDB vs. Memgraph vs. Teradata vs. TiDB

System Properties Comparison BoltDB vs. Memgraph vs. Teradata vs. TiDB

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Editorial information provided by DB-Engines

Name

Description

A hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale

A hybrid cloud data analytics software platform (Teradata Vantage)

TiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.

Primary database model

Key-value store

Graph DBMS

Relational DBMS

Secondary database models

Document store
Graph DBMS
Time Series DBMS

Document store

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

Score	0.58
Rank	#217	Overall
	#34	Key-value stores

Score	0.08
Rank	#305	Overall
	#29	Graph DBMS

Score	72.59
Rank	#14	Overall
	#9	Relational DBMS

Score	2.27
Rank	#116	Overall
	#56	Relational DBMS

Website

github.com/boltdb/bolt

memgraph.com

www.teradata.com

pingcap.com

Technical documentation

docs.memgraph.com

docs.teradata.com

docs.pingcap.com/tidb/stable

Developer

Memgraph Ltd

Teradata

PingCAP, Inc.

Initial release

2013

2017

1984

2016

Current release

Teradata Vantage 1.0 MU2, January 2019

4.0.10 , January 2021

License

Commercial or Open Source

Open Source

MIT License

commercial

Free license available

commercial

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++

Go, Rust

Server operating systems

BSD
Linux
OS X
Solaris
Windows

Linux

hosted
Linux

Linux

Data scheme

schema-free

schema-free and schema-optional

yes

Typing

predefined data types such as float or date

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

Join-index to prejoin tables, aggregate index, sparse index, hash index

yes

SQL

Support of SQL

yes

SQL 2016 + extensions

yes

APIs and other access methods

Bolt protocol
Cypher query language

.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB

JDBC
ODBC
Proprietary protocol

Supported programming languages

.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala

C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

yes

UDFs, stored procedures, table functions in parallel

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

dynamic graph partitioning

Sharding

Hashing

horizontal partitioning (by key range)

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication using RAFT

Multi-source replication
Source-replica replication

Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

with TiSpark Connector

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

relationships in graphs

yes

currently only supported in syntax

Transaction concepts

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

yes

ACID

with snapshot isolation

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

with periodic snapshot and write-ahead logging (WAL) of changes

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

Users, roles and permissions

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept. No user groups or roles.

More information provided by the system vendor

Specific characteristics

TiDB is an open-source NewSQL database built by PingCAP. TiDB supports Hybrid Transactional...
» more

Competitive advantages

In the current database landscape, infrastructure engineers often have to use one...
» more

Typical application scenarios

TiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» more

Key customers

Shopee (E-commerce) BookMyShow.com (E-commerce) Yiguo.com (E-commerce) JD Cloud &...
» more

Market metrics

25K+ GitHub Stars for TiDB, and 8K+ GitHub Stars for TiKV 1.6K+ members in TiDB Community...
» more

Licensing and pricing models

Open Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more

News

Five Principles that Guide TiDB and PingCAP (Part II)
26 January 2021

Five Principles that Guide TiDB and PingCAP (Part I)
21 January 2021

Announcing the TiDB Incubator Program
20 January 2021

How to Simulate I/O Faults at Runtime
8 January 2021

GitHub Discussions: Bringing the Open Source Community Closer Together and All in GitHub
7 January 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.