DBMS > GBase vs. Heroic vs. LevelDB vs. Manticore Search vs. Warp 10

System Properties Comparison GBase vs. Heroic vs. LevelDB vs. Manticore Search vs. Warp 10

Editorial information provided by DB-Engines

Name

Description

An analytical database for business intelligence with large customers in China.

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values

Multi-storage database for search, including full-text search.

TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase

Primary database model

Secondary database models

Time Series DBMS

using the Manticore Columnar Library

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

Score	1.16
Rank	#165	Overall
	#79	Relational DBMS

Score	0.22
Rank	#285	Overall
	#25	Time Series DBMS

Score	3.06
Rank	#101	Overall
	#18	Key-value stores

Score	0.07
Rank	#326	Overall
	#20	Search engines

Score	0.18
Rank	#291	Overall
	#26	Time Series DBMS

Website

www.gbase8a.com

spotify.github.io/heroic/#!/index

github.com/google/leveldb

manticoresearch.com

www.warp10.io

Technical documentation

spotify.github.io/heroic/#!/docs/overview

github.com/google/leveldb/blob/master/doc/index.md

manual.manticoresearch.com

www.warp10.io/content/02_Getting_started

Developer

Spotify

Google

Manticore Software

SenX

Initial release

2014

2011

2017

2015

Current release

GBase 8a

1.23, February 2021

4.2, December 2021

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

BSD

Open Source

GPL version 2

Open Source

Apache License 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

Java

C++

Java

Server operating systems

Illumos
Linux
OS X
Windows

FreeBSD
Linux
macOS
Windows

Linux
OS X
Windows

Data scheme

schema-free

Fixed schema

schema-free

Typing

predefined data types such as float or date

yes

Int, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean

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.

Can index from XML

Secondary indexes

yes

via Elasticsearch

yes

full-text index on all search fields

SQL

Support of SQL

SQL-like query language

APIs and other access methods

HQL (Heroic Query Language, a JSON-based language)
HTTP API

Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL

HTTP API
Jupyter
WebSocket

Supported programming languages

C++
Go
Java

3rd party binding
JavaScript (Node.js)

3rd party binding
Python

3rd party binding

Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python

Server-side scripts

Stored procedures

user defined functions

yes

WarpScript

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Partitioning is done manually, search queries against distributed index is supported

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Synchronous replication based on Galera library

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

Transaction concepts

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

yes

isolated transactions for atomic changes and binary logging for safe writes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

with automatic compression on writes

yes

The original contents of fields are not stored in the Manticore index.

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

Mandatory use of cryptographic tokens, containing fine-grained authorizations

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Check Point Research detects vulnerability in the Everscale blockchain wallet, preventing cryptocurrency theft
25 April 2022, Check Point Research

Vidar distributed through backdoored Windows 11 downloads and abusing Telegram
19 May 2022, Security Boulevard

Malicious Roblox Cookie and Discord Token Stealers Hit PyPI Repository
2 February 2022, Security Boulevard

How Infrastructure Providers Can Enable Web3 – The New Stack
23 December 2021, thenewstack.io

Squeezing More Performance Out Of The Linux Kernel With Clang + LTO
21 July 2021, Phoronix

provided by Google News

Build A Web Crawler with Search bar Using Wget and Manticore [A Step By Step Guide]
18 April 2020, hackernoon.com

provided by Google News

Job opportunities

Senior Software Engineer
IT People, Morrisville, NC

Senior Database Engineer - DataHub
Bloomberg, New York, NY

Storage Software Engineer/Researcher, Infrastructure System Lab
ByteDance, Seattle, WA

Storage Software Engineer/Researcher, Infrastructure System Lab
ByteDance, Mountain View, CA

Principal Engineer - Database Internals
Snowflake, San Mateo, CA

jobs by

Share this page