How Apollo Solved The Fake Join Problem Using Siren
SOLUTION
Case Study
Transforming Enterprise Search at Apollo.io with Siren Federate
Apollo.io, a leading B2B sales intelligence platform, faced significant challenges with their search functionality, particularly when dealing with their two core data models: contacts and accounts. The platform maintained a synchronization system where account information was replicated to contact records to enable faster querying. However, this approach began to show its limitations, especially when handling accounts with large numbers of contacts and frequently changing fields.
EFFICIENTLY JOIN AND CORRELATE LARGE-SCALE DATASETS FROM MULTIPLE SOURCES
Why Use Siren Federate for Elasticsearch?
Advanced Elasticsearch Join Capabilities
Enabling real-time linking and querying across distributed data.
Relational & Graph Search
Navigate complex relationships across structured and unstructured data.
Efficient Information Retrieval
Quickly find and connect relevant data points for enhanced decision-making.
LINKING
ADVANCED JOIN CAPABILITIES
Elasticsearch Join and Advanced Data Linking
Siren Federate enhances Elasticsearch with complex join operations and powerful data-linking capabilities, allowing seamless data correlation across multiple indices. This is crucial for investigative workflows, cyber threat intelligence, and financial crime analysis.
INSIGHTS
RELATIONAL SEARCH AND GRAPH SEARCH
Relational Search for Connected Insights
Unify diverse data sources and perform relational searches to reveal hidden connections. Siren Federate’s technology ensures that disparate data can be queried efficiently without compromising performance.
GRAPH
NETWORK ANALYSIS
Advanced Graph Search for Network Analysis
Graph-based investigations allow users to visualize relationships between entities, uncovering patterns and anomalies that traditional keyword searches might miss.
EFFICIENT
SIREN FEDERATED SEARCH
Scalable Information Retrieval
Siren Federate enables complex Elasticsearch joins and other powerful linking capabilities, allowing seamless data unification across multiple indices. This is crucial for investigative workflows, cyber threat intelligence, and financial crime analysis.
USE CASES
GRAPH SEARCH, RELATIONAL SEARCH AND MORE
Real-World Applications of Siren Federate
Law Enforcement & IntelligenceCybersecurity & Threat IntelligenceEnterprise & Compliance Investigations
Law Enforcement & Intelligence
• Identify connections between suspects, events and digital footprints.
• Analyze financial transactions and communications across various sources.
Cybersecurity & Threat Intelligence
• Detect malicious activities by correlating threat intelligence feeds with internal logs.
• Investigate security breaches by linking network, endpoint, and threat actor data.
Enterprise & Compliance Investigations
• Conduct due diligence and fraud investigations.
• Ensure regulatory compliance to large-scale searches through interlinked documents.
Matt Curl
Chief Operating Officer at Apollo.io
This was such a beastly performance improvement. The impact on our customers was immediate. Our products are now faster. Customers can use Apollo products in even more precise ways to filter and target, allowing sales and marketing teams to have unparalleled results.
Griffin Brodman
Senior Engineering Manager at Apollo.io
Success looks like scaling for billion of records across an Elastic Cluster while maintaining speed and reliability.
Renaud Delbru
Co-Founder and Chief Scientific Officer of Siren
Siren Federate was designed to handle mission critical, large-scale searches and the Apollo performance validates our approach.
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How Apollo Solved The Fake Join Problem Using Siren
How Apollo Solved The Fake Join Problem Using Siren
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LEARN HOW OUR ADVANCED RELATIONAL SEARCH, GRAPH SEARCH, AND INFORMATION RETRIEVAL CAPABILITIES CAN REVOLUTIONIZE YOUR INVESTIGATIVE WORKFLOWS.
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