Instantly analyse raw logs in their current location.
No data preparation needed. No price tag on volumes.
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Parse and analyse raw or compressed logs in seconds
SpectX makes it quick and easy to analyse unstructured data in unlimited volumes. Logs are not imported into the tool and stay under your control: on-premise, in the cloud or scattered across different locations. Simply download SpectX to your machine, define the location(s) of your data and run as many queries as you like using SQL or a more intuitive SpectX DSL.
SpectX' Features
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Complex analytics for joining datasets, aggregations, descriptive statistics, etc.
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No pricing by data volume
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Data instantly processed in its original location: on-premise, cloud or web
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All textual and popular binary formats supported
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Reliability of data determined
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No data duplication or vendor lock-in
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REST API for easy integration of end-user applications
Quick Demo
Getting started with SpectX
The three basic steps of using SpectX are selecting your data source, describing or choosing the pattern and writing a query. SpectX runs extremely fast even on billions of records.
All it needs to know is your data location and the pattern for parsing it.
SpectX vs Alternatives
Compared to competitors, SpectX' technology innovation enables handling of machine-generated data in its original location rather than loading it into separate tools and databases for processing. This enables analysts to work and experiment with data faster than is possible with existing tools without fear of errors halting their mission.
| Features | SpectX Base | ArcSight | Splunk | Elastic | BigQuery |
|---|---|---|---|---|---|
| No pricing by data volume | SpectXYES | SplunkNo | ElasticNo | BigQueryNo | ArcSightNo |
| Instant processing of all customer captured data | SpectXYES | SplunkNo | ElasticNo | BigQueryNo | ArcSightNo |
| Runtime ETL (flexible schema) | SpectXYES | SplunkNo | ElasticYes | BigQueryNo | ArcSightNo |
| Analyze real-time data | SpectXYES | SplunkYes | ElasticYes | BigQueryYes | ArcSightNo |
| Analyze historical data | SpectXYES | SplunkYes | ElasticYes | BigQueryYes | ArcSightYes |
| Distributed processing of data | SpectXYES | SplunkNo | ElasticYes | BigQueryNo | ArcSightYes |
| Linear scalability | SpectXYES | SplunkNo | ElasticYes | BigQueryYes | ArcSightYes |
| Flexible deployment (cloud, in-premise) | SpectXYES | SplunkYes | ElasticYes | BigQueryYes | ArcSightNo |
| Visibility to source data reliability | SpectXYES | SplunkNo | ElasticNo | BigQueryNo | ArcSightNo |
| Complex analytics | SpectXYES | SplunkNo | ElasticNo | BigQueryNo | ArcSightYes |
| Capturing and sharing knowledge (data structure, analytics) | SpectXYES | SplunkYes | ElasticYes | BigQueryNo | ArcSightNo |
| Avoid data duplication and vendor locked data | SpectXYES | NoSplunkYes | ElasticNo | BigQueryNo | ArcSightYes |
| Active monitoring/alerting | SpectXYes/No* | SplunkYes | ElasticYes | BigQueryYes/No* | ArcSightNo |
| Compliance | SpectXYes/No* | SplunkYes | ElasticYes | BigQueryYes/No* | ArcSightNo |
| Log management | SpectXNo | SplunkYes | ElasticYes | BigQueryYes/No* | ArcSightNo |
*- trivial integration needed