Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Apache Phoenix provides low-latency OLTP and operational analytics on Hadoop by merging the advantages of traditional SQL with the flexibility of NoSQL. It utilizes HBase as its underlying storage, offering full ACID transaction support alongside late-bound, schema-on-read capabilities. Fully compatible with other Hadoop ecosystem tools such as Spark, Hive, Pig, Flume, and MapReduce, it establishes itself as a reliable data platform for OLTP and operational analytics through well-defined, industry-standard APIs. When a SQL query is executed, Apache Phoenix converts it into a series of HBase scans, managing these scans to deliver standard JDBC result sets seamlessly. The framework's direct interaction with the HBase API, along with the implementation of coprocessors and custom filters, enables performance metrics that can reach milliseconds for simple queries and seconds for larger datasets containing tens of millions of rows. This efficiency positions Apache Phoenix as a formidable choice for businesses looking to enhance their data processing capabilities in a Big Data environment.
Description
SpectX is a powerful log analysis tool for data exploration and incident investigation. It does not index or ingest data, but it runs queries directly on log files in file systems and blob storage.
Local log servers, cloud storage Hadoop clusters JDBC-databases production servers, Elastic clusters or anything that speaks HTTP – SpectX transforms any text-based log file into structured virtual views.
SpectX query language was inspired by Unix piping. Analysts can create complex queries and gain advanced insights with the extensive library of query functions that are built into SpectX.
Each query can be executed via the browser-based interface. Advanced options allow you to customize the resultset. This makes it easy for SpectX to be integrated with other applications that require clean, structured data.
SpectX's easy-to-read pattern-matching language can match any data without the need to read or create regex.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
3forge
Yes
Amazon EMR
Yes
Apache Flume
Yes
Apache HBase
Yes
Apache Hive
Yes
Apache Spark
Yes
Data Sentinel
Yes
Hadoop
Yes
NoSQL
Yes
Python
Yes
Integrations
3forge
No
Amazon EMR
No
Apache Flume
No
Apache HBase
No
Apache Hive
No
Apache Spark
No
Data Sentinel
No
Hadoop
No
NoSQL
No
Python
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$79/month
No limits on data volumes.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Apache Software Foundation
Website
phoenix.apache.org
Vendor Details
Company Name
SpectX
Founded
2015
Country
Estonia
Website
www.spectx.com
Product Features
Relational Database
ACID Compliance
No
Data Failure Recovery
No
Multi-Platform
No
Referential Integrity
No
SQL DDL Support
No
SQL DML Support
No
System Catalog
No
Unicode Support
No
Product Features
Log Management
Archiving
Yes
Audit Trails
Yes
Compliance Reporting
No
Consolidation
Yes
Data Visualization
Yes
Event Logs
Yes
Network Logs
Yes
Remediation
No
Syslogs
Yes
Thresholds
Yes
Web Logs
Yes