Yeah, I agree! 💯 MongoDB is great, but there are some better ones. Here’s a short list off the top of my mind: MySQL PostgreSQL MariaDB Oracle Database Microsoft SQL Server IBM Db2 SQLite Amazon Aurora Google Cloud SQL CockroachDB YugabyteDB TiDB OceanBase SingleStore Altibase NuoDB InterBase Firebird SAP HANA SAP ASE Informix Teradata Greenplum Vertica Exasol Snowflake Redshift BigQuery DuckDB H2 Apache Derby Apache Ignite VoltDB Redis Aerospike Riak KV DynamoDB FoundationDB Tarantool Berkeley DB RocksDB LevelDB BadgerDB LMDB Kyoto Cabinet HyperLevelDB WiredTiger EventStoreDB Apache Cassandra ScyllaDB HBase Google Bigtable Azure Cosmos DB Hypertable Accumulo CouchDB Couchbase RethinkDB RavenDB ArangoDB OrientDB MarkLogic BaseX eXist-db ZODB Neo4j JanusGraph TigerGraph Dgraph Amazon Neptune Blazegraph AllegroGraph AnzoGraph Faunus InfiniteGraph InfluxDB TimescaleDB QuestDB OpenTSDB Prometheus VictoriaMetrics Graphite Kdb Apache IoTDB DalmatinerDB RRDtool M3DB TDengine Elasticsearch OpenSearch Solr Splunk Rockset ClickHouse Apache Druid Apache Pinot Apache Kylin Memcached Hazelcast Oracle TimesTen TIBCO ActiveSpaces HSQLDB Realm LiteDB TinyDB NeDB ObjectBox PouchDB IndexedDB LocalStorage Google Firestore Google Cloud Spanner CockroachDB Cloud Yugabyte Cloud Neon PlanetScale AlloyDB MarkLogic FoundationDB Datastax Enterprise db4o ObjectDB GemStone/S Versant Object Database PostGIS SpatiaLite Oracle Spatial GeoMesa GeoWave MonetDB CrateDB Apache Hudi Apache Iceberg Delta Lake Datomic Firebase Realtime Database GridDB Machbase TileDB

でかいのって主に画像ですよね。 ここ10年くらいは、JSでクライアント側で動かして、変化する情報だけAPI叩いて引いてくるという構成のが多いです。 固定データーは起動時に引いてくるものと、ハードコードしているもの。 orientDBとかこの辺宜しくやってくれるDBも有るので、こういうので省力化も。

To add more: Clickhouse, Cassandra, CosmosDB, Neo4j, Trino, Couchbase, ScyllaDB, Planetscale, Yugabyte, Memgraph, Neptune, Qdrant, OrientDB, Turbopuffer... I suspect I'm only scratching the surface here (all of these were mentioned in The Pragmatic Engineer 2025 survey!)

Sonatype NexusのDB移行失敗したと思ったら本体のバージョン変えながらOrientDB -> H2 -> PostgreSQLしないといけないらしくて頭を抱えている

Slides for my GraphDB Sydney Meetup presentation: speakerdeck.com/paulk/groovy… @apachetinkerpop #apacheage #apachehugegraph @neo4j @AntGroup @OrientDB #ArcadeDB #groovy-lang @ApacheGroovy @GraphQL

Here are some free open-source AI-powered options to Neo4j that can help you graph your research on history topics: FalkorDB ArangoDB OrientDB

❕أدوات مهمة كبداية لطلاب وطالبات مشاريع التخرج ٢: 1️⃣ الواجهات Andromo، FIGMA، InVision، Marvel 2️⃣ قواعد البيانات Microsoft SQL، MySQL، MongoDB، OrientDB 3️⃣ الربط Firebase الفيديو المرفق يوضح آلية العمل:👌👇 youtu.be/MnmEXqfV5BU

Good day, colleagues. Please check our long-term plans and primary #YouTrackDB design considerations. bit.ly/4fPUutE We will be happy to read your thoughts, questions, and observations. Hope to see you among our users in 2025! #OrientDB #GraphDatabases #GraphDB

Using Property Graph Databases with @apachegroovy @TheASF @apache_age #apachehugegraph @apachetinkerpop #groovylang 🥇🥈🥉 groovy.apache.org/blog/groov… Updated for TuGraph 4.5.1, HugeGraph 1.5.0, ArcadeDB 24.11.1, Gremlin 3.7.3, Neo4J 5.26.0, OrientDB 3.2.36

OrientDB 😝

Database Types: A Comprehensive Overview I've recently compiled a visual guide to database types, mapping out key players in our dynamic data storage landscape. Here's a summary of the major categories and their typical applications: 1. Relational Databases Examples: MySQL, PostgreSQL Use Cases: Financial systems, ERP solutions Strengths: Handling structured data with complex relationships, ensuring data integrity 2. Document Stores Examples: MongoDB, CouchDB Use Cases: Content management systems, real-time analytics Strengths: Managing semi-structured data with flexibility 3. Key-Value Stores Examples: Redis, DynamoDB Use Cases: Caching, session management, real-time leaderboards Strengths: Rapid data retrieval 4. Wide-Column Stores Examples: Cassandra, HBase Use Cases:Time-series data, IoT sensor inputs, recommendation engines Strengths: Handling massive datasets, built for scale 5. Graph Databases Examples: Neo4j, TitanDB Use Cases: Social networks, fraud detection, advanced recommendation systems Strengths: Managing complex relationships between data points 6. Time-Series Databases Examples: InfluxDB, TimescaleDB Use Cases: System monitoring, IoT data processing, financial market data tracking Strengths: Specialized in handling temporal data 7. Object-Oriented Databases Examples: db4o, ObjectDB Use Cases: Complex data models, object persistence in OOP environments Strengths: Bridging object-oriented programming and data storage 8. Multi-Model Databases Examples: ArangoDB, OrientDB Use Cases: Applications requiring multiple data models Strengths:Flexibility without needing multiple database systems Emerging Category: Vector Databases Examples: SingleStore, Pinecone Use Cases: Similarity searches, ML model serving, advanced recommendation systems Strengths: Optimized for high-dimensional vector data This overview covers a wide range of database types, each with its own strengths and ideal use cases. As the field of data storage and management continues to evolve, new specialized databases may emerge to address specific needs in data processing and analysis.

Using Property Graph Databases with @ApacheGroovy @TheASF @apache_age @apachetinkerpop #ApacheHugeGraph #groovylang @neo4j @AntGroup #tugraph @OrientDB #arcadedb #olympics 🥇🥈🥉 groovy.apache.org/blog/groov…

#OrientDB is a powerful graph database that combines a graph data model, object—oriented programming, and document data storage. This database helps its users in many aspects. More in blog! mivocloud.com/blog/OrientDB-… #vps #usa #canada #europe #uk

#researchtoday My time for research is growing smaller, but I still try to keep up with the technology. Today I am researching OrientDB: orientdb.org/. Jetbrains Xodus and by association YouTrack is moving on top of it so I want to see why.

Jmoordb: Jmoordb stands as an Object Document Mapper (ODM) for Java, providing support for a range of NoSQL databases, including MongoDB, OrientDB, and Couchbase. Read more 👉 lttr.ai/AR6mV #java #Database #MongoDB

Let us make #orientdb future together! Please vote for the improvements in the 4.0 version! github.com/orientechnologies…

🌟| أدوات مهمة كبداية لطلاب وطالبات مشاريع التخرج ٢: 1️⃣| الواجهات Andromo، FIGMA، InVision، Marvel 2️⃣| قواعد البيانات Microsoft SQL، MySQL، MongoDB، OrientDB 3️⃣| الربط Firebase الفيديو المرفق يوضح آلية العمل:👌👇 youtu.be/MnmEXqfV5BU

Dive deep into data! 🌊 Explore a universe of databases 📚: Relational Rockstars: 💪 MySQL, 🦧Oracle, 📈PostgreSQL NoSQL : 🧭 MongoDB, 🛋️CouchDB, 🧑‍💻Cassandra 🤸 Graph Gurus: 🕸️ Neo4j, 🤯OrientDB Open-Source Oasis: 🌳 Apache Spark, 🫂PostgreSQL, 🤝MariaDB

现在很多数据库都是开源代码，著名的也有上百种吧！ 随手一查： 开源数据库有：1、MySQL；2、PostgreSQL；3、DB2；4、MongoDB；5、Redis；6、Neo4j；7、OrientDB；8、FirebirdSQL；9、CouchDB；10、Hadoop (HBase)。 其中，MySQL是一个开源的关系型数据库管理系统，性能高、成本低、可靠性好。😆