Best Network Management Software for SQLite

Find and compare the best Network Management software for SQLite in 2026

Use the comparison tool below to compare the top Network Management software for SQLite on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    New Relic Reviews
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    Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.
  • 2
    Xplico Reviews
    Xplico is a prominent tool featured in many leading digital forensics and penetration testing distributions, including Kali Linux, BackTrack, DEFT, Security Onion, Matriux, BackBox, CERT Forensics Tools, Pentoo, and CERT-Toolkit. It supports simultaneous access for multiple users, allowing each to manage one or several cases effectively. The interface is web-based, and its backend database options include SQLite, MySQL, or PostgreSQL. Additionally, Xplico can function as a Cloud Network Forensic Analysis Tool. Its primary objective is to extract application data from internet traffic captures, such as retrieving emails via protocols like POP, IMAP, and SMTP, along with HTTP content, VoIP calls through SIP, and file transfers using FTP and TFTP from pcap files. Importantly, Xplico is not classified as a network protocol analyzer. As an open-source Network Forensic Analysis Tool (NFAT), it organizes the reassembled data with an associated XML file that distinctly identifies the data flows and the corresponding pcap file. This structured approach enables users to efficiently analyze and manage the data extracted from network traffic.
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