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IniniFlux Feature_Perf_Comparison
1. Performance and Feature Comparison
on InfiniFlux, MySQL, MongoDB,
Splunk, and Elasticsearch
www.infiniflux.com
2. Feature - Query Language
2
Product Query Language
InfiniFlux Easy to process statistics as it supports standard SQL
MySQL Easy to process statistics as it supports standard SQL
Elasticsearch Require to enter conditional clauses of SQL queries in the REST API and JSON format
MongoDB Difficult to use it since it requires to enter conditional clauses in the โFindโ method
Splunk Easy to process statistics as it supports search processing language (SPL)
Conclusion
Easy and efficient to process unstructured big data with Splunk or Elasticsearch, and
structured big data with Infiniflux which supports SQL.
For statistical processing, difficult to use Elasticsearch and MongoDB due to
complicated query.
3. Feature - Time Series Query
3
Product Time Series Query
InfiniFlux
Use โDURATIONโ clause and hidden column, โ_ARRIVAL_TIMEโ.
Able to process high-speed query as input data are partitioned based on
input time.
MySQL Not supported
Elasticsearch Not supported
MongoDB Not supported
Splunk Possible to use โDURATIONโ clause for searching
For time series query, InfiniFlux and Splunk are easy and efficient to use.
In terms of search performance, InfiniFlux is the best for searching time series data.
Conclusion
4. Feature - Full Text Search
4
Product Full Text Search
InfiniFlux
Able to search by using โSEARCHโ operator.
Able to search data at a high-speed by using the inverted index.
MySQL
Use โLIKEโ operator.
It may not able to use index based on search patterns, and as a result, slow down in search
speed.
Elasticsearch Supported
MongoDB Supported
Splunk Supported
InfiniFlux is the only available DBMS for full text search at a high-speed against
structured data.
Conclusion
5. Feature - Extended Data Type
5
Product Extended Data Type
InfiniFlux Support IPv6 and IPv4 types, and operators (contains and contained)
MySQL Not supported
Elastic search Not supported
MongoDB Not supported
Splunk Support functions such as โcidrmatchโ
Conclusion
InfiniFlux is the only available DBMS for supporting network data type and related
functions.
6. 6
Field
Time of log
creation
Source IP
Source
port
Destination
IP
Destination
port
Protocol
type
Log text Status code Data size
Field Name arrivaltime srcip srcport dstip dstport protocol eventlog eventcode eventsize
Field Type datetime ipv4 integer ipv4 integer short
varchar
(1024)
short long
Evaluate data input and analyze performance of each product by 100,000,000 records
(13GB) on basic hardware environment
Hardware
Specifications
- CentOS 6.6
- Intel(R) Core(TM) i7-4790
CPU @ 3.60GHz (4 core)
- 32GB Memory
- SATA DISK
Test
Targets
- InfiniFlux 2.0
- MySQL 5.2
- Splunk 6.2.3
- Elasticsearch 1.5.3
- MongoDB 3.0.3
[DATA]
Performance
7. 7
4334
13848
698
1624
389
0 2000 4000 6000 8000 10000 12000 14000 16000
Elasticsearch
MySQL
Splunk
MongoDB
INFINIFLUX
DATA LOADING TIME (sec)
Performance
Conclusion
InfiniFlux ables to load 100,000,000 data records only within 389 seconds, the fastest time ever
among the competitors.
8. 8
3
1
85
208
4
0 50 100 150 200 250
Elasticsearch
MySQL
Splunk
MongoDB
INFINIFLUX
COMPLEX SEARCH (sec)
Performance
Conclusion
InfiniFlux only takes 4 seconds to perform composite operations.
MySQL takes a second to search, which is the fastest, however, it takes a long time to load data.