DBMS > Alibaba Cloud Log Service vs. GridGain vs. Kinetica vs. Manticore Search vs. SQLite

System Properties Comparison Alibaba Cloud Log Service vs. GridGain vs. Kinetica vs. Manticore Search vs. SQLite

Editorial information provided by DB-Engines

Name

Description

A complete real-time data logging service that supports collection, consumption, shipping, search, and analysis of logs.

GridGain is an in-memory computing platform, built on Apache Ignite

Fully vectorized database across both GPUs and CPUs

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

Widely used embeddable, in-process RDBMS

Primary database model

Search engine

Key-value store
Relational DBMS

Relational DBMS

Search engine

Relational DBMS

Secondary database models

Spatial DBMS
Time Series DBMS

Time Series DBMS

using the Manticore Columnar Library

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

Score	0.43
Rank	#265	Overall
	#18	Search engines

Score	1.47
Rank	#154	Overall
	#26	Key-value stores
	#72	Relational DBMS

Score	0.64
Rank	#236	Overall
	#109	Relational DBMS

Score	0.22
Rank	#312	Overall
	#21	Search engines

Score	114.32
Rank	#10	Overall
	#7	Relational DBMS

Website

www.alibabacloud.com/product/log-service

Technical documentation

www.alibabacloud.com/help/en/sls

www.gridgain.com/docs/index.html

docs.kinetica.com

manual.manticoresearch.com

www.sqlite.org/docs.html

Developer

AlibabaCloud Inc.

GridGain Systems, Inc.

Kinetica

Manticore Software

Dwayne Richard Hipp

Initial release

2016

2007

2012

2017

2000

Current release

GridGain 8.5.1

7.1, August 2021

6.0, February 2023

3.45.3 (15 April 2024), April 2024

License

Commercial or Open Source

commercial

Open Source

GPL version 2

Open Source

Public Domain

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++, .Net

C, C++

C++

Server operating systems

hosted

Linux
OS X
Solaris
Windows

Linux

FreeBSD
Linux
macOS
Windows

server-less

Data scheme

schema-free

yes

Fixed schema

yes

dynamic column types

Typing

predefined data types such as float or date

yes

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

yes

not rigid because of 'dynamic typing' concept.

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

Can index from XML

Secondary indexes

yes

full-text index on all search fields

yes

SQL

Support of SQL

SQL for querying

ANSI-99 for query and DML statements, subset of DDL

SQL-like DML and DDL statements

SQL-like query language

yes

SQL-92 is not fully supported

APIs and other access methods

HTTP REST

HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data

JDBC
ODBC
RESTful HTTP API

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

ADO.NET

inofficial driver
JDBC

inofficial driver
ODBC

inofficial driver

Supported programming languages

C#
C++
Java
PHP
Python
Ruby
Scala

C++
Java
JavaScript (Node.js)
Python

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

Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl

Server-side scripts

Stored procedures

yes (compute grid and cache interceptors can be used instead)

user defined functions

Triggers

yes

yes (cache interceptors and events)

yes

triggers when inserted values for one or more columns fall within a specified range

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

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

none

Replication methods

Methods for redundantly storing data on multiple nodes

3 replicas

yes (replicated cache)

Source-replica replication

Synchronous replication based on Galera library

none

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

yes (compute grid and hadoop accelerator)

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

isolated transactions for atomic changes and binary logging for safe writes

ACID

Concurrency

Support for concurrent manipulation of data

yes

via file-system locks

Durability

Support for making data persistent

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

GPU vRAM or System RAM

yes

User concepts

Access control

Alibaba Cloud user access control

Security Hooks for custom implementations

Access rights for users and roles on table level

More information provided by the system vendor

Specific characteristics

A real-time service for telementry data (log, metric, trace). Alibaba Cloud Log Service...
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Competitive advantages

* Ease of use: Completes data collections from more than 30 data sources within five...
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Typical application scenarios

* Log/Trace/Event Search & Analysis * Application Monitoring * Operation Analysis...
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Key customers

* Alibaba & Ant-Finance：he infrastructure service for the Corp * Over 22k Subscriber...
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Licensing and pricing models

Pay-As-You-Go https://www.alibabacloud.com/product/log-service/pricing
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