Add tool
Pros of Apache Solr
Pros of Apache Spark
Pros of Apache Solr
No pros available
Sign up to add or upvote prosMake informed product decisions
Cons of Apache Solr
Cons of Apache Spark
Cons of Apache Solr
No cons available
Cons of Apache Spark
Sign up to add or upvote consMake informed product decisions
No Stats
- No public GitHub repository available -
What is Apache Solr?
It uses the tools you use to make application building a snap. It is built on the battle-tested Apache Zookeeper, it makes it easy to scale up and down.
What is Apache Spark?
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
What companies use Apache Solr?
What companies use Apache Spark?
What companies use Apache Solr?
What companies use Apache Spark?
Sign up to get full access to all the companiesMake informed product decisions
What tools integrate with Apache Solr?
What tools integrate with Apache Spark?
What tools integrate with Apache Solr?
What tools integrate with Apache Spark?
Sign up to get full access to all the tool integrationsMake informed product decisions
Blog Posts
4
1121
1
462
1
2419
2
1300
5
1839
116
35474
What are some alternatives to Apache Solr and Apache Spark?
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Lucene
Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Azure Search
Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios.
Interest over time