Apache Phoenix vs. SpectX Comparison


Apache Phoenix Apache Software Foundation	SpectX	+	+
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About Apache Phoenix enables OLTP and operational analytics in Hadoop for low-latency applications by combining the best of both worlds. The power of standard SQL and JDBC APIs with full ACID transaction capabilities and the flexibility of late-bound, schema-on-read capabilities from the NoSQL world by leveraging HBase as its backing store. Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and Map Reduce. Become the trusted data platform for OLTP and operational analytics for Hadoop through well-defined, industry-standard APIs. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. Direct use of the HBase API, along with coprocessors and custom filters, results in performance on the order of milliseconds for small queries, or seconds for tens of millions of rows.	About SpectX is a powerful log analyzer for incident investigation and data exploration. It does not ingest or index data but runs queries directly on log files stored in file systems or blob storage. Local log servers, cloud storage, Hadoop clusters, JDBC-databases, production servers, Elastic clusters, or anything that speaks HTTP - SpectX turns any text-based log files into structured virtual views. SpectX query language is inspired by piping in Unix. An extensive library of built-in query functions allows analysts to compose complex queries and get advanced insights. In addition to the browser-based interface, every query can be easily executed via RESTful API, with advanced options to customize the resultset. This makes it easy to integrate SpectX with other applications in need of clean and structured data. SpectX easy-to-read pattern matching language can flexibly match any data, no need to read or write regex.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Anyone searching for a solution to manage their OLTP and operational analytics for Apache Hadoop	Audience security analysts, data engineers, system administrators
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Not Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing $79/month No limits on data volumes. Free Version Supported Free Trial Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Supported
Company Information Apache Software Foundation phoenix.apache.org	Company Information SpectX Founded: 2015 Estonia www.spectx.com
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Categories Embedded Database Supported Relational Database Supported SQL Databases Supported	Categories Log Analysis Supported Log Management Supported
	Show More Features Log Management Features Archiving Supported Audit Trails Supported Compliance Reporting Not Supported Consolidation Supported Data Visualization Supported Event Logs Supported Network Logs Supported Remediation Not Supported Syslogs Supported Thresholds Supported Web Logs Supported
Integrations 3forge Supported Amazon EMR Supported Apache Flume Supported Apache HBase Supported Apache Hive Supported Apache Spark Supported Data Sentinel Supported Hadoop Supported NoSQL Supported Python Supported SQL Supported Salesforce Data 360 Supported Trino Supported Zabbix Not Supported Show More Integrations View All 13 Integrations	Integrations 3forge Not Supported Amazon EMR Not Supported Apache Flume Not Supported Apache HBase Not Supported Apache Hive Not Supported Apache Spark Not Supported Data Sentinel Not Supported Hadoop Not Supported NoSQL Not Supported Python Not Supported SQL Not Supported Salesforce Data 360 Not Supported Trino Not Supported Zabbix Supported Show More Integrations View All 1 Integration
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